Exemplo n.º 1
0
def scf_initialize(self):
    """Specialized initialization, compute integrals and does everything to prepare for iterations"""

    self.iteration_ = 0
    efp_enabled = hasattr(self.molecule(), 'EFP')

    if core.get_option('SCF', "PRINT") > 0:
        core.print_out("  ==> Pre-Iterations <==\n\n")
        self.print_preiterations()

    if efp_enabled:
        # EFP: Set QM system, options, and callback. Display efp geom in [A]
        efpobj = self.molecule().EFP
        core.print_out(efpobj.banner())
        core.print_out(efpobj.geometry_summary(units_to_bohr=constants.bohr2angstroms))

        efpptc, efpcoords, efpopts = get_qm_atoms_opts(self.molecule())
        efpobj.set_point_charges(efpptc, efpcoords)
        efpobj.set_opts(efpopts, label='psi', append='psi')

        efpobj.set_electron_density_field_fn(field_fn)

    if self.attempt_number_ == 1:
        mints = core.MintsHelper(self.basisset())
        if core.get_global_option('RELATIVISTIC') in ['X2C', 'DKH']:
            mints.set_rel_basisset(self.get_basisset('BASIS_RELATIVISTIC'))

        mints.one_electron_integrals()
        self.integrals()

        core.timer_on("HF: Form core H")
        self.form_H()
        core.timer_off("HF: Form core H")

        if efp_enabled:
            # EFP: Add in permanent moment contribution and cache
            core.timer_on("HF: Form Vefp")
            verbose = core.get_option('SCF', "PRINT")
            Vefp = modify_Fock_permanent(self.molecule(), mints, verbose=verbose-1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)
            Horig = self.H().clone()
            self.Horig = Horig
            core.print_out("  QM/EFP: iterating Total Energy including QM/EFP Induction\n")
            core.timer_off("HF: Form Vefp")

        core.timer_on("HF: Form S/X")
        self.form_Shalf()
        core.timer_off("HF: Form S/X")

        core.timer_on("HF: Guess")
        self.guess()
        core.timer_off("HF: Guess")

    else:
        # We're reading the orbitals from the previous set of iterations.
        self.form_D()
        self.set_energies("Total Energy", self.compute_initial_E())
Exemplo n.º 2
0
def scf_initialize(self):
    """Specialized initialization, compute integrals and does everything to prepare for iterations"""

    self.iteration_ = 0
    efp_enabled = hasattr(self.molecule(), 'EFP')

    if core.get_option('SCF', "PRINT") > 0:
        core.print_out("  ==> Pre-Iterations <==\n\n")
        self.print_preiterations()

    if efp_enabled:
        # EFP: Set QM system, options, and callback. Display efp geom in [A]
        efpobj = self.molecule().EFP
        core.print_out(efpobj.banner())
        core.print_out(efpobj.geometry_summary(units_to_bohr=constants.bohr2angstroms))

        efpptc, efpcoords, efpopts = get_qm_atoms_opts(self.molecule())
        efpobj.set_point_charges(efpptc, efpcoords)
        efpobj.set_opts(efpopts, label='psi', append='psi')

        efpobj.set_electron_density_field_fn(field_fn)

    if self.attempt_number_ == 1:
        mints = core.MintsHelper(self.basisset())
        if core.get_global_option('RELATIVISTIC') in ['X2C', 'DKH']:
            mints.set_rel_basisset(self.get_basisset('BASIS_RELATIVISTIC'))

        mints.one_electron_integrals()
        self.integrals()

        core.timer_on("HF: Form core H")
        self.form_H()
        core.timer_off("HF: Form core H")

        if efp_enabled:
            # EFP: Add in permanent moment contribution and cache
            core.timer_on("HF: Form Vefp")
            verbose = core.get_option('SCF', "PRINT")
            Vefp = modify_Fock_permanent(self.molecule(), mints, verbose=verbose-1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)
            Horig = self.H().clone()
            self.Horig = Horig
            core.print_out("  QM/EFP: iterating Total Energy including QM/EFP Induction\n")
            core.timer_off("HF: Form Vefp")

        core.timer_on("HF: Form S/X")
        self.form_Shalf()
        core.timer_off("HF: Form S/X")

        core.timer_on("HF: Guess")
        self.guess()
        core.timer_off("HF: Guess")

    else:
        # We're reading the orbitals from the previous set of iterations.
        self.form_D()
        self.set_energies("Total Energy", self.compute_initial_E())
Exemplo n.º 3
0
def run_sapt_dft(name, **kwargs):
    optstash = p4util.OptionsState(['SCF_TYPE'], ['SCF', 'REFERENCE'],
                                   ['SCF', 'DFT_GRAC_SHIFT'],
                                   ['SCF', 'SAVE_JK'])

    core.tstart()
    # Alter default algorithm
    if not core.has_global_option_changed('SCF_TYPE'):
        core.set_global_option('SCF_TYPE', 'DF')

    core.prepare_options_for_module("SAPT")

    # Get the molecule of interest
    ref_wfn = kwargs.get('ref_wfn', None)
    if ref_wfn is None:
        sapt_dimer = kwargs.pop('molecule', core.get_active_molecule())
    else:
        core.print_out(
            'Warning! SAPT argument "ref_wfn" is only able to use molecule information.'
        )
        sapt_dimer = ref_wfn.molecule()

    sapt_dimer, monomerA, monomerB = proc_util.prepare_sapt_molecule(
        sapt_dimer, "dimer")

    # Grab overall settings
    mon_a_shift = core.get_option("SAPT", "SAPT_DFT_GRAC_SHIFT_A")
    mon_b_shift = core.get_option("SAPT", "SAPT_DFT_GRAC_SHIFT_B")
    do_delta_hf = core.get_option("SAPT", "SAPT_DFT_DO_DHF")
    sapt_dft_functional = core.get_option("SAPT", "SAPT_DFT_FUNCTIONAL")

    # Print out the title and some information
    core.print_out("\n")
    core.print_out(
        "         ---------------------------------------------------------\n")
    core.print_out("         " + "SAPT(DFT) Procedure".center(58) + "\n")
    core.print_out("\n")
    core.print_out("         " + "by Daniel G. A. Smith".center(58) + "\n")
    core.print_out(
        "         ---------------------------------------------------------\n")
    core.print_out("\n")

    core.print_out(
        "  !!!  WARNING:  SAPT(DFT) capability is in beta. Please use with caution. !!!\n\n"
    )

    core.print_out("  ==> Algorithm <==\n\n")
    core.print_out("   SAPT DFT Functional     %12s\n" %
                   str(sapt_dft_functional))
    core.print_out("   Monomer A GRAC Shift    %12.6f\n" % mon_a_shift)
    core.print_out("   Monomer B GRAC Shift    %12.6f\n" % mon_b_shift)
    core.print_out("   Delta HF                %12s\n" %
                   ("True" if do_delta_hf else "False"))
    core.print_out("   JK Algorithm            %12s\n" %
                   core.get_global_option("SCF_TYPE"))
    core.print_out("\n")
    core.print_out("   Required computations:\n")
    if (do_delta_hf):
        core.print_out("     HF  (Dimer)\n")
        core.print_out("     HF  (Monomer A)\n")
        core.print_out("     HF  (Monomer B)\n")
    core.print_out("     DFT (Monomer A)\n")
    core.print_out("     DFT (Monomer B)\n")
    core.print_out("\n")

    if (sapt_dft_functional != "HF") and ((mon_a_shift == 0.0) or
                                          (mon_b_shift == 0.0)):
        raise ValidationError(
            'SAPT(DFT): must set both "SAPT_DFT_GRAC_SHIFT_A" and "B".')

    if (core.get_option('SCF', 'REFERENCE') != 'RHF'):
        raise ValidationError(
            'SAPT(DFT) currently only supports restricted references.')

    core.IO.set_default_namespace('dimer')
    data = {}

    if (core.get_global_option('SCF_TYPE') == 'DF'):
        # core.set_global_option('DF_INTS_IO', 'LOAD')
        core.set_global_option('DF_INTS_IO', 'SAVE')

    # # Compute dimer wavefunction
    hf_wfn_dimer = None
    if do_delta_hf:
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.set_global_option('DF_INTS_IO', 'SAVE')

        core.timer_on("SAPT(DFT): Dimer SCF")
        hf_data = {}
        hf_wfn_dimer = scf_helper("SCF",
                                  molecule=sapt_dimer,
                                  banner="SAPT(DFT): delta HF Dimer",
                                  **kwargs)
        hf_data["HF DIMER"] = core.variable("CURRENT ENERGY")
        core.timer_off("SAPT(DFT): Dimer SCF")

        core.timer_on("SAPT(DFT): Monomer A SCF")
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.IO.change_file_namespace(97, 'dimer', 'monomerA')

        hf_wfn_A = scf_helper("SCF",
                              molecule=monomerA,
                              banner="SAPT(DFT): delta HF Monomer A",
                              **kwargs)
        hf_data["HF MONOMER A"] = core.variable("CURRENT ENERGY")
        core.timer_off("SAPT(DFT): Monomer A SCF")

        core.timer_on("SAPT(DFT): Monomer B SCF")
        core.set_global_option("SAVE_JK", True)
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.IO.change_file_namespace(97, 'monomerA', 'monomerB')

        hf_wfn_B = scf_helper("SCF",
                              molecule=monomerB,
                              banner="SAPT(DFT): delta HF Monomer B",
                              **kwargs)
        hf_data["HF MONOMER B"] = core.variable("CURRENT ENERGY")
        core.set_global_option("SAVE_JK", False)
        core.timer_off("SAPT(DFT): Monomer B SCF")

        # Grab JK object and set to A (so we do not save many JK objects)
        sapt_jk = hf_wfn_B.jk()
        hf_wfn_A.set_jk(sapt_jk)
        core.set_global_option("SAVE_JK", False)

        # Move it back to monomer A
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.IO.change_file_namespace(97, 'monomerB', 'dimer')

        core.print_out("\n")
        core.print_out(
            "         ---------------------------------------------------------\n"
        )
        core.print_out("         " + "SAPT(DFT): delta HF Segment".center(58) +
                       "\n")
        core.print_out("\n")
        core.print_out("         " +
                       "by Daniel G. A. Smith and Rob Parrish".center(58) +
                       "\n")
        core.print_out(
            "         ---------------------------------------------------------\n"
        )
        core.print_out("\n")

        # Build cache
        hf_cache = sapt_jk_terms.build_sapt_jk_cache(hf_wfn_A, hf_wfn_B,
                                                     sapt_jk, True)

        # Electrostatics
        core.timer_on("SAPT(DFT):SAPT:elst")
        elst = sapt_jk_terms.electrostatics(hf_cache, True)
        hf_data.update(elst)
        core.timer_off("SAPT(DFT):SAPT:elst")

        # Exchange
        core.timer_on("SAPT(DFT):SAPT:exch")
        exch = sapt_jk_terms.exchange(hf_cache, sapt_jk, True)
        hf_data.update(exch)
        core.timer_off("SAPT(DFT):SAPT:exch")

        # Induction
        core.timer_on("SAPT(DFT):SAPT:ind")
        ind = sapt_jk_terms.induction(
            hf_cache,
            sapt_jk,
            True,
            maxiter=core.get_option("SAPT", "MAXITER"),
            conv=core.get_option("SAPT", "D_CONVERGENCE"),
            Sinf=core.get_option("SAPT", "DO_IND_EXCH_SINF"))
        hf_data.update(ind)
        core.timer_off("SAPT(DFT):SAPT:ind")

        dhf_value = hf_data["HF DIMER"] - hf_data["HF MONOMER A"] - hf_data[
            "HF MONOMER B"]

        core.print_out("\n")
        core.print_out(
            print_sapt_hf_summary(hf_data, "SAPT(HF)", delta_hf=dhf_value))

        data["Delta HF Correction"] = core.variable("SAPT(DFT) Delta HF")
        sapt_jk.finalize()

        del hf_wfn_A, hf_wfn_B, sapt_jk

    if hf_wfn_dimer is None:
        dimer_wfn = core.Wavefunction.build(sapt_dimer,
                                            core.get_global_option("BASIS"))
    else:
        dimer_wfn = hf_wfn_dimer

    # Set the primary functional
    core.set_local_option('SCF', 'REFERENCE', 'RKS')

    # Compute Monomer A wavefunction
    core.timer_on("SAPT(DFT): Monomer A DFT")
    if (core.get_global_option('SCF_TYPE') == 'DF'):
        core.IO.change_file_namespace(97, 'dimer', 'monomerA')

    if mon_a_shift:
        core.set_global_option("DFT_GRAC_SHIFT", mon_a_shift)

    core.IO.set_default_namespace('monomerA')
    wfn_A = scf_helper(sapt_dft_functional,
                       post_scf=False,
                       molecule=monomerA,
                       banner="SAPT(DFT): DFT Monomer A",
                       **kwargs)
    data["DFT MONOMERA"] = core.variable("CURRENT ENERGY")

    core.set_global_option("DFT_GRAC_SHIFT", 0.0)
    core.timer_off("SAPT(DFT): Monomer A DFT")

    # Compute Monomer B wavefunction
    core.timer_on("SAPT(DFT): Monomer B DFT")
    if (core.get_global_option('SCF_TYPE') == 'DF'):
        core.IO.change_file_namespace(97, 'monomerA', 'monomerB')

    if mon_b_shift:
        core.set_global_option("DFT_GRAC_SHIFT", mon_b_shift)

    core.set_global_option("SAVE_JK", True)
    core.IO.set_default_namespace('monomerB')
    wfn_B = scf_helper(sapt_dft_functional,
                       post_scf=False,
                       molecule=monomerB,
                       banner="SAPT(DFT): DFT Monomer B",
                       **kwargs)
    data["DFT MONOMERB"] = core.variable("CURRENT ENERGY")

    # Save JK object
    sapt_jk = wfn_B.jk()
    wfn_A.set_jk(sapt_jk)
    core.set_global_option("SAVE_JK", False)

    core.set_global_option("DFT_GRAC_SHIFT", 0.0)
    core.timer_off("SAPT(DFT): Monomer B DFT")

    # Write out header
    scf_alg = core.get_global_option("SCF_TYPE")
    sapt_dft_header(sapt_dft_functional, mon_a_shift, mon_b_shift,
                    bool(do_delta_hf), scf_alg)

    # Call SAPT(DFT)
    sapt_jk = wfn_B.jk()
    sapt_dft(dimer_wfn,
             wfn_A,
             wfn_B,
             sapt_jk=sapt_jk,
             data=data,
             print_header=False)

    # Copy data back into globals
    for k, v in data.items():
        core.set_variable(k, v)

    core.tstop()

    return dimer_wfn
Exemplo n.º 4
0
def sapt_dft(dimer_wfn,
             wfn_A,
             wfn_B,
             sapt_jk=None,
             sapt_jk_B=None,
             data=None,
             print_header=True,
             cleanup_jk=True):
    """
    The primary SAPT(DFT) algorithm to compute the interaction energy once the wavefunctions have been built.

    Example
    -------

    dimer = psi4.geometry('''
      Ne
      --
      Ar 1 6.5
      units bohr
    ''')

    psi4.set_options({"BASIS": "aug-cc-pVDZ"})

    # Prepare the fragments
    sapt_dimer, monomerA, monomerB = psi4.proc_util.prepare_sapt_molecule(sapt_dimer, "dimer")

    # Run the first monomer
    set DFT_GRAC_SHIFT 0.203293
    wfnA, energyA = psi4.energy("PBE0", monomer=monomerA, return_wfn=True)

    # Run the second monomer
    set DFT_GRAC_SHIFT 0.138264
    wfnB, energyB = psi4.energy("PBE0", monomer=monomerB, return_wfn=True)

    # Build the dimer wavefunction
    wfnD = psi4.core.Wavefunction.build(sapt_dimer)

    # Compute SAPT(DFT) from the provided wavefunctions
    data = psi4.procrouting.sapt.sapt_dft(wfnD, wfnA, wfnB)
    """

    # Handle the input options
    core.timer_on("SAPT(DFT):SAPT(DFT):JK")
    if print_header:
        sapt_dft_header()

    if sapt_jk is None:

        core.print_out("\n   => Building SAPT JK object <= \n\n")
        sapt_jk = core.JK.build(dimer_wfn.basisset())
        sapt_jk.set_do_J(True)
        sapt_jk.set_do_K(True)
        if wfn_A.functional().is_x_lrc():
            sapt_jk.set_do_wK(True)
            sapt_jk.set_omega(wfn_A.functional().x_omega())
        sapt_jk.initialize()
        sapt_jk.print_header()

        if wfn_B.functional().is_x_lrc() and (wfn_A.functional().x_omega() !=
                                              wfn_B.functional().x_omega()):
            core.print_out("   => Monomer B: Building SAPT JK object <= \n\n")
            core.print_out(
                "      Reason: MonomerA Omega != MonomerB Omega\n\n")
            sapt_jk_B = core.JK.build(dimer_wfn.basisset())
            sapt_jk_B.set_do_J(True)
            sapt_jk_B.set_do_K(True)
            sapt_jk_B.set_do_wK(True)
            sapt_jk_B.set_omega(wfn_B.functional().x_omega())
            sapt_jk_B.initialize()
            sapt_jk_B.print_header()
    else:
        sapt_jk.set_do_K(True)

    if data is None:
        data = {}

    # Build SAPT cache
    cache = sapt_jk_terms.build_sapt_jk_cache(wfn_A, wfn_B, sapt_jk, True)
    core.timer_off("SAPT(DFT):SAPT(DFT):JK")

    # Electrostatics
    core.timer_on("SAPT(DFT):SAPT(DFT):elst")
    elst = sapt_jk_terms.electrostatics(cache, True)
    data.update(elst)
    core.timer_off("SAPT(DFT):SAPT(DFT):elst")

    # Exchange
    core.timer_on("SAPT(DFT):SAPT(DFT):exch")
    exch = sapt_jk_terms.exchange(cache, sapt_jk, True)
    data.update(exch)
    core.timer_off("SAPT(DFT):SAPT(DFT):exch")

    # Induction
    core.timer_on("SAPT(DFT):SAPT(DFT):ind")
    ind = sapt_jk_terms.induction(cache,
                                  sapt_jk,
                                  True,
                                  sapt_jk_B=sapt_jk_B,
                                  maxiter=core.get_option("SAPT", "MAXITER"),
                                  conv=core.get_option("SAPT",
                                                       "D_CONVERGENCE"),
                                  Sinf=core.get_option("SAPT",
                                                       "DO_IND_EXCH_SINF"))
    data.update(ind)
    core.timer_off("SAPT(DFT):SAPT(DFT):ind")

    # Blow away JK object before doing MP2 for memory considerations
    if cleanup_jk:
        sapt_jk.finalize()

    # Dispersion
    core.timer_on("SAPT(DFT):SAPT(DFT):disp")
    primary_basis = wfn_A.basisset()
    core.print_out("\n")
    aux_basis = core.BasisSet.build(dimer_wfn.molecule(), "DF_BASIS_MP2",
                                    core.get_option("DFMP2", "DF_BASIS_MP2"),
                                    "RIFIT", core.get_global_option('BASIS'))
    fdds_disp = sapt_mp2_terms.df_fdds_dispersion(primary_basis, aux_basis,
                                                  cache)
    data.update(fdds_disp)

    if core.get_option("SAPT", "SAPT_DFT_MP2_DISP_ALG") == "FISAPT":
        mp2_disp = sapt_mp2_terms.df_mp2_fisapt_dispersion(wfn_A,
                                                           primary_basis,
                                                           aux_basis,
                                                           cache,
                                                           do_print=True)
    else:
        mp2_disp = sapt_mp2_terms.df_mp2_sapt_dispersion(dimer_wfn,
                                                         wfn_A,
                                                         wfn_B,
                                                         primary_basis,
                                                         aux_basis,
                                                         cache,
                                                         do_print=True)
    data.update(mp2_disp)
    core.timer_off("SAPT(DFT):SAPT(DFT):disp")

    # Print out final data
    core.print_out("\n")
    core.print_out(print_sapt_dft_summary(data, "SAPT(DFT)"))

    return data
Exemplo n.º 5
0
def scf_iterate(self, e_conv=None, d_conv=None):

    is_dfjk = core.get_global_option('SCF_TYPE').endswith('DF')
    verbose = core.get_option('SCF', "PRINT")
    reference = core.get_option('SCF', "REFERENCE")

    # self.member_data_ signals are non-local, used internally by c-side fns
    self.diis_enabled_ = _validate_diis()
    self.MOM_excited_ = _validate_MOM()
    self.diis_start_ = core.get_option('SCF', 'DIIS_START')
    damping_enabled = _validate_damping()
    soscf_enabled = _validate_soscf()
    frac_enabled = _validate_frac()
    efp_enabled = hasattr(self.molecule(), 'EFP')

    if self.iteration_ < 2:
        core.print_out("  ==> Iterations <==\n\n")
        core.print_out(
            "%s                        Total Energy        Delta E     RMS |[F,P]|\n\n"
            % ("   " if is_dfjk else ""))

    # SCF iterations!
    SCFE_old = 0.0
    SCFE = 0.0
    Drms = 0.0
    while True:
        self.iteration_ += 1

        diis_performed = False
        soscf_performed = False
        self.frac_performed_ = False
        #self.MOM_performed_ = False  # redundant from common_init()

        self.save_density_and_energy()

        if efp_enabled:
            # EFP: Add efp contribution to Fock matrix
            self.H().copy(self.Horig)
            global mints_psi4_yo
            mints_psi4_yo = core.MintsHelper(self.basisset())
            Vefp = modify_Fock_induced(self.molecule().EFP,
                                       mints_psi4_yo,
                                       verbose=verbose - 1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)

        SCFE = 0.0
        self.clear_external_potentials()

        core.timer_on("HF: Form G")
        self.form_G()
        core.timer_off("HF: Form G")

        # reset fractional SAD occupation
        if (self.iteration_ == 0) and self.reset_occ_:
            self.reset_occupation()

        upcm = 0.0
        if core.get_option('SCF', 'PCM'):
            calc_type = core.PCM.CalcType.Total
            if core.get_option("PCM", "PCM_SCF_TYPE") == "SEPARATE":
                calc_type = core.PCM.CalcType.NucAndEle
            Dt = self.Da().clone()
            Dt.add(self.Db())
            upcm, Vpcm = self.get_PCM().compute_PCM_terms(Dt, calc_type)
            SCFE += upcm
            self.push_back_external_potential(Vpcm)
        self.set_variable("PCM POLARIZATION ENERGY", upcm)
        self.set_energies("PCM Polarization", upcm)

        core.timer_on("HF: Form F")
        self.form_F()
        core.timer_off("HF: Form F")

        if verbose > 3:
            self.Fa().print_out()
            self.Fb().print_out()

        SCFE += self.compute_E()
        if efp_enabled:
            global efp_Dt_psi4_yo

            # EFP: Add efp contribution to energy
            efp_Dt_psi4_yo = self.Da().clone()
            efp_Dt_psi4_yo.add(self.Db())
            SCFE += self.molecule().EFP.get_wavefunction_dependent_energy()

        self.set_energies("Total Energy", SCFE)
        Ediff = SCFE - SCFE_old
        SCFE_old = SCFE

        status = []

        # We either do SOSCF or DIIS
        if (soscf_enabled and (self.iteration_ > 3) and
            (Drms < core.get_option('SCF', 'SOSCF_START_CONVERGENCE'))):

            Drms = self.compute_orbital_gradient(
                False, core.get_option('SCF', 'DIIS_MAX_VECS'))
            diis_performed = False
            if self.functional().needs_xc():
                base_name = "SOKS, nmicro="
            else:
                base_name = "SOSCF, nmicro="

            if not _converged(Ediff, Drms, e_conv=e_conv, d_conv=d_conv):
                nmicro = self.soscf_update(
                    core.get_option('SCF', 'SOSCF_CONV'),
                    core.get_option('SCF', 'SOSCF_MIN_ITER'),
                    core.get_option('SCF', 'SOSCF_MAX_ITER'),
                    core.get_option('SCF', 'SOSCF_PRINT'))
                if nmicro > 0:
                    # if zero, the soscf call bounced for some reason
                    self.find_occupation()
                    status.append(base_name + str(nmicro))
                    soscf_performed = True  # Stops DIIS
                else:
                    if verbose > 0:
                        core.print_out(
                            "Did not take a SOSCF step, using normal convergence methods\n"
                        )
                    soscf_performed = False  # Back to DIIS

            else:
                # need to ensure orthogonal orbitals and set epsilon
                status.append(base_name + "conv")
                core.timer_on("HF: Form C")
                self.form_C()
                core.timer_off("HF: Form C")
                soscf_performed = True  # Stops DIIS

        if not soscf_performed:
            # Normal convergence procedures if we do not do SOSCF

            core.timer_on("HF: DIIS")
            diis_performed = False
            add_to_diis_subspace = False

            if self.diis_enabled_ and self.iteration_ >= self.diis_start_:
                add_to_diis_subspace = True

            Drms = self.compute_orbital_gradient(
                add_to_diis_subspace, core.get_option('SCF', 'DIIS_MAX_VECS'))

            if (self.diis_enabled_ and self.iteration_ >= self.diis_start_ +
                    core.get_option('SCF', 'DIIS_MIN_VECS') - 1):
                diis_performed = self.diis()

            if diis_performed:
                status.append("DIIS")

            core.timer_off("HF: DIIS")

            if verbose > 4 and diis_performed:
                core.print_out("  After DIIS:\n")
                self.Fa().print_out()
                self.Fb().print_out()

            # frac, MOM invoked here from Wfn::HF::find_occupation
            core.timer_on("HF: Form C")
            self.form_C()
            core.timer_off("HF: Form C")

        if self.MOM_performed_:
            status.append("MOM")

        if self.frac_performed_:
            status.append("FRAC")

        core.timer_on("HF: Form D")
        self.form_D()
        core.timer_off("HF: Form D")

        core.set_variable("SCF ITERATION ENERGY", SCFE)

        # After we've built the new D, damp the update
        if (damping_enabled and self.iteration_ > 1
                and Drms > core.get_option('SCF', 'DAMPING_CONVERGENCE')):
            damping_percentage = core.get_option('SCF', "DAMPING_PERCENTAGE")
            self.damping_update(damping_percentage * 0.01)
            status.append("DAMP={}%".format(round(damping_percentage)))

        if verbose > 3:
            self.Ca().print_out()
            self.Cb().print_out()
            self.Da().print_out()
            self.Db().print_out()

        # Print out the iteration
        core.print_out("   @%s%s iter %3d: %20.14f   %12.5e   %-11.5e %s\n" %
                       ("DF-" if is_dfjk else "", reference, self.iteration_,
                        SCFE, Ediff, Drms, '/'.join(status)))

        # if a an excited MOM is requested but not started, don't stop yet
        if self.MOM_excited_ and not self.MOM_performed_:
            continue

        # if a fractional occupation is requested but not started, don't stop yet
        if frac_enabled and not self.frac_performed_:
            continue

        # Call any postiteration callbacks

        if _converged(Ediff, Drms, e_conv=e_conv, d_conv=d_conv):
            break
        if self.iteration_ >= core.get_option('SCF', 'MAXITER'):
            raise SCFConvergenceError("""SCF iterations""", self.iteration_,
                                      self, Ediff, Drms)
Exemplo n.º 6
0
def scf_initialize(self):
    """Specialized initialization, compute integrals and does everything to prepare for iterations"""

    # Figure out memory distributions

    # Get memory in terms of doubles
    total_memory = (core.get_memory() /
                    8) * core.get_global_option("SCF_MEM_SAFETY_FACTOR")

    # Figure out how large the DFT collocation matrices are
    vbase = self.V_potential()
    if vbase:
        collocation_size = vbase.grid().collocation_size()
        if vbase.functional().ansatz() == 1:
            collocation_size *= 4  # First derivs
        elif vbase.functional().ansatz() == 2:
            collocation_size *= 10  # Second derivs
    else:
        collocation_size = 0

    # Change allocation for collocation matrices based on DFT type
    scf_type = core.get_global_option('SCF_TYPE').upper()
    nbf = self.get_basisset("ORBITAL").nbf()
    naux = self.get_basisset("DF_BASIS_SCF").nbf()
    if "DIRECT" == scf_type:
        jk_size = total_memory * 0.1
    elif scf_type.endswith('DF'):
        jk_size = naux * nbf * nbf
    else:
        jk_size = nbf**4

    # Give remaining to collocation
    if total_memory > jk_size:
        collocation_memory = total_memory - jk_size
    # Give up to 10% to collocation
    elif (total_memory * 0.1) > collocation_size:
        collocation_memory = collocation_size
    else:
        collocation_memory = total_memory * 0.1

    if collocation_memory > collocation_size:
        collocation_memory = collocation_size

    # Set constants
    self.iteration_ = 0
    self.memory_jk_ = int(total_memory - collocation_memory)
    self.memory_collocation_ = int(collocation_memory)

    # Print out initial docc/socc/etc data
    if core.get_option('SCF', "PRINT") > 0:
        core.print_out("  ==> Pre-Iterations <==\n\n")
        self.print_preiterations()

    # Initialize EFP
    efp_enabled = hasattr(self.molecule(), 'EFP')
    if efp_enabled:
        # EFP: Set QM system, options, and callback. Display efp geom in [A]
        efpobj = self.molecule().EFP
        core.print_out(efpobj.banner())
        core.print_out(
            efpobj.geometry_summary(units_to_bohr=constants.bohr2angstroms))

        efpptc, efpcoords, efpopts = get_qm_atoms_opts(self.molecule())
        efpobj.set_point_charges(efpptc, efpcoords)
        efpobj.set_opts(efpopts, label='psi', append='psi')

        efpobj.set_electron_density_field_fn(field_fn)

    # Initilize all integratals and perform the first guess
    if self.attempt_number_ == 1:
        mints = core.MintsHelper(self.basisset())
        if core.get_global_option('RELATIVISTIC') in ['X2C', 'DKH']:
            mints.set_rel_basisset(self.get_basisset('BASIS_RELATIVISTIC'))

        mints.one_electron_integrals()
        self.initialize_jk(self.memory_jk_)
        if self.V_potential():
            self.V_potential().build_collocation_cache(
                self.memory_collocation_)

        core.timer_on("HF: Form core H")
        self.form_H()
        core.timer_off("HF: Form core H")

        if efp_enabled:
            # EFP: Add in permanent moment contribution and cache
            core.timer_on("HF: Form Vefp")
            verbose = core.get_option('SCF', "PRINT")
            Vefp = modify_Fock_permanent(self.molecule(),
                                         mints,
                                         verbose=verbose - 1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)
            Horig = self.H().clone()
            self.Horig = Horig
            core.print_out(
                "  QM/EFP: iterating Total Energy including QM/EFP Induction\n"
            )
            core.timer_off("HF: Form Vefp")

        core.timer_on("HF: Form S/X")
        self.form_Shalf()
        core.timer_off("HF: Form S/X")

        core.timer_on("HF: Guess")
        self.guess()
        core.timer_off("HF: Guess")

    else:
        # We're reading the orbitals from the previous set of iterations.
        self.form_D()
        self.set_energies("Total Energy", self.compute_initial_E())

    # turn off VV10 for iterations
    if core.get_option(
            'SCF', "DFT_VV10_POSTSCF") and self.functional().vv10_b() > 0.0:
        core.print_out("  VV10: post-SCF option active \n \n")
        self.functional().set_lock(False)
        self.functional().set_do_vv10(False)
        self.functional().set_lock(True)
Exemplo n.º 7
0
def scf_iterate(self, e_conv=None, d_conv=None):

    is_dfjk = core.get_global_option('SCF_TYPE').endswith('DF')
    verbose = core.get_option('SCF', "PRINT")
    reference = core.get_option('SCF', "REFERENCE")

    # self.member_data_ signals are non-local, used internally by c-side fns
    self.diis_enabled_ = self.validate_diis()
    self.MOM_excited_ = _validate_MOM()
    self.diis_start_ = core.get_option('SCF', 'DIIS_START')
    damping_enabled = _validate_damping()
    soscf_enabled = _validate_soscf()
    frac_enabled = _validate_frac()
    efp_enabled = hasattr(self.molecule(), 'EFP')

    # SCF iterations!
    SCFE_old = 0.0
    Dnorm = 0.0
    while True:
        self.iteration_ += 1

        diis_performed = False
        soscf_performed = False
        self.frac_performed_ = False
        #self.MOM_performed_ = False  # redundant from common_init()

        self.save_density_and_energy()

        if efp_enabled:
            # EFP: Add efp contribution to Fock matrix
            self.H().copy(self.Horig)
            global mints_psi4_yo
            mints_psi4_yo = core.MintsHelper(self.basisset())
            Vefp = modify_Fock_induced(self.molecule().EFP,
                                       mints_psi4_yo,
                                       verbose=verbose - 1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)

        SCFE = 0.0
        self.clear_external_potentials()

        core.timer_on("HF: Form G")
        self.form_G()
        core.timer_off("HF: Form G")

        incfock_performed = hasattr(
            self.jk(), "do_incfock_iter") and self.jk().do_incfock_iter()

        upcm = 0.0
        if core.get_option('SCF', 'PCM'):
            calc_type = core.PCM.CalcType.Total
            if core.get_option("PCM", "PCM_SCF_TYPE") == "SEPARATE":
                calc_type = core.PCM.CalcType.NucAndEle
            Dt = self.Da().clone()
            Dt.add(self.Db())
            upcm, Vpcm = self.get_PCM().compute_PCM_terms(Dt, calc_type)
            SCFE += upcm
            self.push_back_external_potential(Vpcm)
        self.set_variable("PCM POLARIZATION ENERGY", upcm)  # P::e PCM
        self.set_energies("PCM Polarization", upcm)

        upe = 0.0
        if core.get_option('SCF', 'PE'):
            Dt = self.Da().clone()
            Dt.add(self.Db())
            upe, Vpe = self.pe_state.get_pe_contribution(Dt, elec_only=False)
            SCFE += upe
            self.push_back_external_potential(Vpe)
        self.set_variable("PE ENERGY", upe)  # P::e PE
        self.set_energies("PE Energy", upe)

        core.timer_on("HF: Form F")
        # SAD: since we don't have orbitals yet, we might not be able
        # to form the real Fock matrix. Instead, build an initial one
        if (self.iteration_ == 0) and self.sad_:
            self.form_initial_F()
        else:
            self.form_F()
        core.timer_off("HF: Form F")

        if verbose > 3:
            self.Fa().print_out()
            self.Fb().print_out()

        SCFE += self.compute_E()
        if efp_enabled:
            global efp_Dt_psi4_yo

            # EFP: Add efp contribution to energy
            efp_Dt_psi4_yo = self.Da().clone()
            efp_Dt_psi4_yo.add(self.Db())
            SCFE += self.molecule().EFP.get_wavefunction_dependent_energy()

        self.set_energies("Total Energy", SCFE)
        core.set_variable("SCF ITERATION ENERGY", SCFE)
        Ediff = SCFE - SCFE_old
        SCFE_old = SCFE

        status = []

        # Check if we are doing SOSCF
        if (soscf_enabled and (self.iteration_ >= 3) and
            (Dnorm < core.get_option('SCF', 'SOSCF_START_CONVERGENCE'))):
            Dnorm = self.compute_orbital_gradient(
                False, core.get_option('SCF', 'DIIS_MAX_VECS'))
            diis_performed = False
            if self.functional().needs_xc():
                base_name = "SOKS, nmicro="
            else:
                base_name = "SOSCF, nmicro="

            if not _converged(Ediff, Dnorm, e_conv=e_conv, d_conv=d_conv):
                nmicro = self.soscf_update(
                    core.get_option('SCF', 'SOSCF_CONV'),
                    core.get_option('SCF', 'SOSCF_MIN_ITER'),
                    core.get_option('SCF', 'SOSCF_MAX_ITER'),
                    core.get_option('SCF', 'SOSCF_PRINT'))
                # if zero, the soscf call bounced for some reason
                soscf_performed = (nmicro > 0)

                if soscf_performed:
                    self.find_occupation()
                    status.append(base_name + str(nmicro))
                else:
                    if verbose > 0:
                        core.print_out(
                            "Did not take a SOSCF step, using normal convergence methods\n"
                        )

            else:
                # need to ensure orthogonal orbitals and set epsilon
                status.append(base_name + "conv")
                core.timer_on("HF: Form C")
                self.form_C()
                core.timer_off("HF: Form C")
                soscf_performed = True  # Stops DIIS

        if not soscf_performed:
            # Normal convergence procedures if we do not do SOSCF

            # SAD: form initial orbitals from the initial Fock matrix, and
            # reset the occupations. The reset is necessary because SAD
            # nalpha_ and nbeta_ are not guaranteed physical.
            # From here on, the density matrices are correct.
            if (self.iteration_ == 0) and self.sad_:
                self.form_initial_C()
                self.reset_occupation()
                self.find_occupation()

            else:
                # Run DIIS
                core.timer_on("HF: DIIS")
                diis_performed = False
                add_to_diis_subspace = self.diis_enabled_ and self.iteration_ >= self.diis_start_

                Dnorm = self.compute_orbital_gradient(
                    add_to_diis_subspace,
                    core.get_option('SCF', 'DIIS_MAX_VECS'))

                if add_to_diis_subspace:
                    for engine_used in self.diis(Dnorm):
                        status.append(engine_used)

                core.timer_off("HF: DIIS")

                if verbose > 4 and diis_performed:
                    core.print_out("  After DIIS:\n")
                    self.Fa().print_out()
                    self.Fb().print_out()

                # frac, MOM invoked here from Wfn::HF::find_occupation
                core.timer_on("HF: Form C")
                level_shift = core.get_option("SCF", "LEVEL_SHIFT")
                if level_shift > 0 and Dnorm > core.get_option(
                        'SCF', 'LEVEL_SHIFT_CUTOFF'):
                    status.append("SHIFT")
                    self.form_C(level_shift)
                else:
                    self.form_C()
                core.timer_off("HF: Form C")

                if self.MOM_performed_:
                    status.append("MOM")

                if self.frac_performed_:
                    status.append("FRAC")

                if incfock_performed:
                    status.append("INCFOCK")

                # Reset occupations if necessary
                if (self.iteration_ == 0) and self.reset_occ_:
                    self.reset_occupation()
                    self.find_occupation()

        # Form new density matrix
        core.timer_on("HF: Form D")
        self.form_D()
        core.timer_off("HF: Form D")

        self.set_variable("SCF ITERATION ENERGY", SCFE)
        core.set_variable("SCF D NORM", Dnorm)

        # After we've built the new D, damp the update
        if (damping_enabled and self.iteration_ > 1
                and Dnorm > core.get_option('SCF', 'DAMPING_CONVERGENCE')):
            damping_percentage = core.get_option('SCF', "DAMPING_PERCENTAGE")
            self.damping_update(damping_percentage * 0.01)
            status.append("DAMP={}%".format(round(damping_percentage)))

        if core.has_option_changed("SCF", "ORBITALS_WRITE"):
            filename = core.get_option("SCF", "ORBITALS_WRITE")
            self.to_file(filename)

        if verbose > 3:
            self.Ca().print_out()
            self.Cb().print_out()
            self.Da().print_out()
            self.Db().print_out()

        # Print out the iteration
        core.print_out(
            "   @%s%s iter %3s: %20.14f   %12.5e   %-11.5e %s\n" %
            ("DF-" if is_dfjk else "", reference, "SAD" if
             ((self.iteration_ == 0) and self.sad_) else self.iteration_, SCFE,
             Ediff, Dnorm, '/'.join(status)))

        # if a an excited MOM is requested but not started, don't stop yet
        # Note that MOM_performed_ just checks initialization, and our convergence measures used the pre-MOM orbitals
        if self.MOM_excited_ and ((not self.MOM_performed_) or self.iteration_
                                  == core.get_option('SCF', "MOM_START")):
            continue

        # if a fractional occupation is requested but not started, don't stop yet
        if frac_enabled and not self.frac_performed_:
            continue

        # Call any postiteration callbacks
        if not ((self.iteration_ == 0) and self.sad_) and _converged(
                Ediff, Dnorm, e_conv=e_conv, d_conv=d_conv):
            break
        if self.iteration_ >= core.get_option('SCF', 'MAXITER'):
            raise SCFConvergenceError("""SCF iterations""", self.iteration_,
                                      self, Ediff, Dnorm)
Exemplo n.º 8
0
def scf_initialize(self):
    """Specialized initialization, compute integrals and does everything to prepare for iterations"""

    # Figure out memory distributions

    # Get memory in terms of doubles
    total_memory = (core.get_memory() /
                    8) * core.get_global_option("SCF_MEM_SAFETY_FACTOR")

    # Figure out how large the DFT collocation matrices are
    vbase = self.V_potential()
    if vbase:
        collocation_size = vbase.grid().collocation_size()
        if vbase.functional().ansatz() == 1:
            collocation_size *= 4  # First derivs
        elif vbase.functional().ansatz() == 2:
            collocation_size *= 10  # Second derivs
    else:
        collocation_size = 0

    # Change allocation for collocation matrices based on DFT type
    jk = _build_jk(self, total_memory)
    jk_size = jk.memory_estimate()

    # Give remaining to collocation
    if total_memory > jk_size:
        collocation_memory = total_memory - jk_size
    # Give up to 10% to collocation
    elif (total_memory * 0.1) > collocation_size:
        collocation_memory = collocation_size
    else:
        collocation_memory = total_memory * 0.1

    if collocation_memory > collocation_size:
        collocation_memory = collocation_size

    # Set constants
    self.iteration_ = 0
    self.memory_jk_ = int(total_memory - collocation_memory)
    self.memory_collocation_ = int(collocation_memory)

    if self.get_print():
        core.print_out("  ==> Integral Setup <==\n\n")

    # Initialize EFP
    efp_enabled = hasattr(self.molecule(), 'EFP')
    if efp_enabled:
        # EFP: Set QM system, options, and callback. Display efp geom in [A]
        efpobj = self.molecule().EFP
        core.print_out(efpobj.banner())
        core.print_out(
            efpobj.geometry_summary(units_to_bohr=constants.bohr2angstroms))

        efpptc, efpcoords, efpopts = get_qm_atoms_opts(self.molecule())
        efpobj.set_point_charges(efpptc, efpcoords)
        efpobj.set_opts(efpopts, label='psi', append='psi')

        efpobj.set_electron_density_field_fn(efp_field_fn)

    # Initialize all integrals and perform the first guess
    if self.attempt_number_ == 1:
        mints = core.MintsHelper(self.basisset())

        self.initialize_jk(self.memory_jk_, jk=jk)
        if self.V_potential():
            self.V_potential().build_collocation_cache(
                self.memory_collocation_)
        core.timer_on("HF: Form core H")
        self.form_H()
        core.timer_off("HF: Form core H")

        if efp_enabled:
            # EFP: Add in permanent moment contribution and cache
            core.timer_on("HF: Form Vefp")
            verbose = core.get_option('SCF', "PRINT")
            Vefp = modify_Fock_permanent(self.molecule(),
                                         mints,
                                         verbose=verbose - 1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)
            Horig = self.H().clone()
            self.Horig = Horig
            core.print_out(
                "  QM/EFP: iterating Total Energy including QM/EFP Induction\n"
            )
            core.timer_off("HF: Form Vefp")

        core.timer_on("HF: Form S/X")
        self.form_Shalf()
        core.timer_off("HF: Form S/X")

        core.print_out("\n  ==> Pre-Iterations <==\n\n")

        core.timer_on("HF: Guess")
        self.guess()
        core.timer_off("HF: Guess")
        # Print out initial docc/socc/etc data
        if self.get_print():
            lack_occupancy = core.get_local_option('SCF', 'GUESS') in ['SAD']
            if core.get_global_option('GUESS') in ['SAD']:
                lack_occupancy = core.get_local_option('SCF',
                                                       'GUESS') in ['AUTO']
                self.print_preiterations(small=lack_occupancy)
            else:
                self.print_preiterations(small=lack_occupancy)

    else:
        # We're reading the orbitals from the previous set of iterations.
        self.form_D()
        self.set_energies("Total Energy", self.compute_initial_E())

    # turn off VV10 for iterations
    if core.get_option(
            'SCF', "DFT_VV10_POSTSCF") and self.functional().vv10_b() > 0.0:
        core.print_out("  VV10: post-SCF option active \n \n")
        self.functional().set_lock(False)
        self.functional().set_do_vv10(False)
        self.functional().set_lock(True)

    # Print iteration header
    is_dfjk = core.get_global_option('SCF_TYPE').endswith('DF')
    diis_rms = core.get_option('SCF', 'DIIS_RMS_ERROR')
    core.print_out("  ==> Iterations <==\n\n")
    core.print_out(
        "%s                        Total Energy        Delta E     %s |[F,P]|\n\n"
        % ("   " if is_dfjk else "", "RMS" if diis_rms else "MAX"))
Exemplo n.º 9
0
def fisapt_compute_energy(self, external_potentials=None):
    """Computes the FSAPT energy. FISAPT::compute_energy"""

    # => Header <=

    self.print_header()

    # => Zero-th Order Wavefunction <=

    core.timer_on("FISAPT: Setup")
    self.localize()
    self.partition()
    self.overlap()
    self.kinetic()
    self.nuclear()
    self.coulomb()
    core.timer_off("FISAPT: Setup")
    core.timer_on("FISAPT: Monomer SCF")
    self.scf()
    core.timer_off("FISAPT: Monomer SCF")
    self.freeze_core()
    self.unify()
    core.timer_on("FISAPT: Subsys E")
    self.dHF()
    core.timer_off("FISAPT: Subsys E")

    # => SAPT0 <=

    core.timer_on("FISAPT:SAPT:elst")
    self.elst()
    core.timer_off("FISAPT:SAPT:elst")
    core.timer_on("FISAPT:SAPT:exch")
    self.exch()
    core.timer_off("FISAPT:SAPT:exch")
    core.timer_on("FISAPT:SAPT:ind")
    self.ind()
    core.timer_off("FISAPT:SAPT:ind")
    if not core.get_option("FISAPT", "FISAPT_DO_FSAPT"):
        core.timer_on("FISAPT:SAPT:disp")
        self.disp(
            self.matrices(), self.vectors(), True
        )  # Expensive, only do if needed  # unteseted translation of below
        # self.disp(matrices_, vectors_, true)  # Expensive, only do if needed
        core.timer_off("FISAPT:SAPT:disp")

    # => F-SAPT0 <=

    if core.get_option("FISAPT", "FISAPT_DO_FSAPT"):
        core.timer_on("FISAPT:FSAPT:loc")
        self.flocalize()
        core.timer_off("FISAPT:FSAPT:loc")
        core.timer_on("FISAPT:FSAPT:elst")
        self.felst()
        core.timer_off("FISAPT:FSAPT:elst")
        core.timer_on("FISAPT:FSAPT:exch")
        self.fexch()
        core.timer_off("FISAPT:FSAPT:exch")
        core.timer_on("FISAPT:FSAPT:ind")
        self.find()
        core.timer_off("FISAPT:FSAPT:ind")
        if core.get_option("FISAPT", "FISAPT_DO_FSAPT_DISP"):
            core.timer_on("FISAPT:FSAPT:disp")
            self.fdisp()
            core.timer_off("FISAPT:FSAPT:disp")
        #else:
        #    # Build Empirical Dispersion
        #    dashD = empirical_dispersion.EmpiricalDispersion(name_hint='SAPT0-D3M')
        #    dashD.print_out()
        #    # Compute -D
        #    Edisp = dashD.compute_energy(core.get_active_molecule())
        #    core.set_variable('{} DISPERSION CORRECTION ENERGY'.format(dashD.fctldash), Edisp)            # Printing
        #    text = []
        #    text.append("   => {}: Empirical Dispersion <=".format(dashD.fctldash.upper()))
        #    text.append(" ")
        #    text.append(dashD.description)
        #    text.append(dashD.dashlevel_citation.rstrip())
        #    text.append("\n    Empirical Dispersion Energy [Eh] =     {:24.16f}\n".format(Edisp))
        #    text.append('\n')
        #    core.print_out('\n'.join(text))
        self.fdrop(external_potentials)

    # => Scalar-Field Analysis <=

    if core.get_option("FISAPT", "FISAPT_DO_PLOT"):
        core.timer_on("FISAPT:FSAPT:cubeplot")
        self.plot()
        core.timer_off("FISAPT:FSAPT:cubeplot")

    # => Summary <=

    self.print_trailer()
Exemplo n.º 10
0
def fisapt_compute_energy(self):
    """Computes the FSAPT energy. FISAPT::compute_energy"""

    # => Header <=

    self.print_header()

    # => Zero-th Order Wavefunction <=

    core.timer_on("FISAPT: Setup")
    self.localize()
    self.partition()
    self.overlap()
    self.kinetic()
    self.nuclear()
    self.coulomb()
    core.timer_off("FISAPT: Setup")
    core.timer_on("FISAPT: Monomer SCF")
    self.scf()
    core.timer_off("FISAPT: Monomer SCF")
    self.freeze_core()
    self.unify()
    core.timer_on("FISAPT: Subsys E")
    self.dHF()
    core.timer_off("FISAPT: Subsys E")

    # => SAPT0 <=

    core.timer_on("FISAPT:SAPT:elst")
    self.elst()
    core.timer_off("FISAPT:SAPT:elst")
    core.timer_on("FISAPT:SAPT:exch")
    self.exch()
    core.timer_off("FISAPT:SAPT:exch")
    core.timer_on("FISAPT:SAPT:ind")
    self.ind()
    core.timer_off("FISAPT:SAPT:ind")
    if not core.get_option("FISAPT", "FISAPT_DO_FSAPT"):
        core.timer_on("FISAPT:SAPT:disp")
        self.disp(matrices_, vectors_, true)  # Expensive, only do if needed
        core.timer_off("FISAPT:SAPT:disp")

    # => F-SAPT0 <=

    if core.get_option("FISAPT", "FISAPT_DO_FSAPT"):
        core.timer_on("FISAPT:FSAPT:loc")
        self.flocalize()
        core.timer_off("FISAPT:FSAPT:loc")
        core.timer_on("FISAPT:FSAPT:elst")
        self.felst()
        core.timer_off("FISAPT:FSAPT:elst")
        core.timer_on("FISAPT:FSAPT:exch")
        self.fexch()
        core.timer_off("FISAPT:FSAPT:exch")
        core.timer_on("FISAPT:FSAPT:ind")
        self.find()
        core.timer_off("FISAPT:FSAPT:ind")
        core.timer_on("FISAPT:FSAPT:disp")
        self.fdisp()
        core.timer_off("FISAPT:FSAPT:disp")
        self.fdrop()

    # => Scalar-Field Analysis <=

    if core.get_option("FISAPT", "FISAPT_DO_PLOT"):
        core.timer_on("FISAPT:FSAPT:cubeplot")
        self.plot()
        core.timer_off("FISAPT:FSAPT:cubeplot")

    # => Summary <=

    self.print_trailer()
Exemplo n.º 11
0
def scf_iterate(self, e_conv=None, d_conv=None):

    is_dfjk = core.get_global_option('SCF_TYPE').endswith('DF')
    verbose = core.get_option('SCF', "PRINT")
    reference = core.get_option('SCF', "REFERENCE")

    # self.member_data_ signals are non-local, used internally by c-side fns
    self.diis_enabled_ = _validate_diis()
    self.MOM_excited_ = _validate_MOM()
    self.diis_start_ = core.get_option('SCF', 'DIIS_START')
    damping_enabled = _validate_damping()
    soscf_enabled = _validate_soscf()
    frac_enabled = _validate_frac()
    efp_enabled = hasattr(self.molecule(), 'EFP')

    if self.iteration_ < 2:
        core.print_out("  ==> Iterations <==\n\n")
        core.print_out("%s                        Total Energy        Delta E     RMS |[F,P]|\n\n" % ("   "
                                                                                                      if is_dfjk else ""))

    # SCF iterations!
    SCFE_old = 0.0
    SCFE = 0.0
    Drms = 0.0
    while True:
        self.iteration_ += 1

        diis_performed = False
        soscf_performed = False
        self.frac_performed_ = False
        #self.MOM_performed_ = False  # redundant from common_init()

        self.save_density_and_energy()

        if efp_enabled:
            # EFP: Add efp contribution to Fock matrix
            self.H().copy(self.Horig)
            global mints
            mints = core.MintsHelper(self.basisset())
            Vefp = modify_Fock_induced(self.molecule().EFP, mints, verbose=verbose-1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)

        SCFE = 0.0
        self.clear_external_potentials()

        core.timer_on("HF: Form G")
        self.form_G()
        core.timer_off("HF: Form G")

        # reset fractional SAD occupation
        if (self.iteration_ == 0) and self.reset_occ_:
            self.reset_occupation()

        upcm = 0.0
        if core.get_option('SCF', 'PCM'):
            calc_type = core.PCM.CalcType.Total
            if core.get_option("PCM", "PCM_SCF_TYPE") == "SEPARATE":
                calc_type = core.PCM.CalcType.NucAndEle
            Dt = self.Da().clone()
            Dt.add(self.Db())
            upcm, Vpcm = self.get_PCM().compute_PCM_terms(Dt, calc_type)
            SCFE += upcm
            self.push_back_external_potential(Vpcm)
        self.set_variable("PCM POLARIZATION ENERGY", upcm)
        self.set_energies("PCM Polarization", upcm)

        core.timer_on("HF: Form F")
        self.form_F()
        core.timer_off("HF: Form F")

        if verbose > 3:
            self.Fa().print_out()
            self.Fb().print_out()

        SCFE += self.compute_E()
        if efp_enabled:
            global efp_Dt

            # EFP: Add efp contribution to energy
            efp_Dt = self.Da().clone()
            efp_Dt.add(self.Db())
            SCFE += self.molecule().EFP.get_wavefunction_dependent_energy()

        self.set_energies("Total Energy", SCFE)
        Ediff = SCFE - SCFE_old
        SCFE_old = SCFE

        status = []

        # We either do SOSCF or DIIS
        if (soscf_enabled and (self.iteration_ > 3) and (Drms < core.get_option('SCF', 'SOSCF_START_CONVERGENCE'))):

            Drms = self.compute_orbital_gradient(False, core.get_option('SCF', 'DIIS_MAX_VECS'))
            diis_performed = False
            if self.functional().needs_xc():
                base_name = "SOKS, nmicro="
            else:
                base_name = "SOSCF, nmicro="

            if not _converged(Ediff, Drms, e_conv=e_conv, d_conv=d_conv):
                nmicro = self.soscf_update(
                    core.get_option('SCF', 'SOSCF_CONV'),
                    core.get_option('SCF', 'SOSCF_MIN_ITER'),
                    core.get_option('SCF', 'SOSCF_MAX_ITER'), core.get_option('SCF', 'SOSCF_PRINT'))
                if nmicro > 0:
                    # if zero, the soscf call bounced for some reason
                    self.find_occupation()
                    status.append(base_name + str(nmicro))
                    soscf_performed = True  # Stops DIIS
                else:
                    if verbose > 0:
                        core.print_out("Did not take a SOSCF step, using normal convergence methods\n")
                    soscf_performed = False  # Back to DIIS

            else:
                # need to ensure orthogonal orbitals and set epsilon
                status.append(base_name + "conv")
                core.timer_on("HF: Form C")
                self.form_C()
                core.timer_off("HF: Form C")
                soscf_performed = True  # Stops DIIS

        if not soscf_performed:
            # Normal convergence procedures if we do not do SOSCF

            core.timer_on("HF: DIIS")
            diis_performed = False
            add_to_diis_subspace = False

            if self.diis_enabled_ and self.iteration_ >= self.diis_start_:
                add_to_diis_subspace = True

            Drms = self.compute_orbital_gradient(add_to_diis_subspace, core.get_option('SCF', 'DIIS_MAX_VECS'))

            if (self.diis_enabled_
                    and self.iteration_ >= self.diis_start_ + core.get_option('SCF', 'DIIS_MIN_VECS') - 1):
                diis_performed = self.diis()

            if diis_performed:
                status.append("DIIS")

            core.timer_off("HF: DIIS")

            if verbose > 4 and diis_performed:
                core.print_out("  After DIIS:\n")
                self.Fa().print_out()
                self.Fb().print_out()

            # frac, MOM invoked here from Wfn::HF::find_occupation
            core.timer_on("HF: Form C")
            self.form_C()
            core.timer_off("HF: Form C")

        if self.MOM_performed_:
            status.append("MOM")

        if self.frac_performed_:
            status.append("FRAC")

        core.timer_on("HF: Form D")
        self.form_D()
        core.timer_off("HF: Form D")

        core.set_variable("SCF ITERATION ENERGY", SCFE)

        # After we've built the new D, damp the update
        if (damping_enabled and self.iteration_ > 1 and Drms > core.get_option('SCF', 'DAMPING_CONVERGENCE')):
            damping_percentage = core.get_option('SCF', "DAMPING_PERCENTAGE")
            self.damping_update(damping_percentage * 0.01)
            status.append("DAMP={}%".format(round(damping_percentage)))

        if verbose > 3:
            self.Ca().print_out()
            self.Cb().print_out()
            self.Da().print_out()
            self.Db().print_out()

        # Print out the iteration
        core.print_out("   @%s%s iter %3d: %20.14f   %12.5e   %-11.5e %s\n" %
                       ("DF-" if is_dfjk else "", reference, self.iteration_, SCFE, Ediff, Drms, '/'.join(status)))

        # if a an excited MOM is requested but not started, don't stop yet
        if self.MOM_excited_ and not self.MOM_performed_:
            continue

        # if a fractional occupation is requested but not started, don't stop yet
        if frac_enabled and not self.frac_performed_:
            continue

        # Call any postiteration callbacks

        if _converged(Ediff, Drms, e_conv=e_conv, d_conv=d_conv):
            break
        if self.iteration_ >= core.get_option('SCF', 'MAXITER'):
            raise ConvergenceError("""SCF iterations""", self.iteration_)
Exemplo n.º 12
0
def run_sapt_dft(name, **kwargs):
    optstash = p4util.OptionsState(['SCF_TYPE'], ['SCF', 'REFERENCE'], ['SCF', 'DFT_GRAC_SHIFT'],
                                   ['SCF', 'SAVE_JK'])

    core.tstart()
    # Alter default algorithm
    if not core.has_global_option_changed('SCF_TYPE'):
        core.set_global_option('SCF_TYPE', 'DF')

    core.prepare_options_for_module("SAPT")

    # Get the molecule of interest
    ref_wfn = kwargs.get('ref_wfn', None)
    if ref_wfn is None:
        sapt_dimer = kwargs.pop('molecule', core.get_active_molecule())
    else:
        core.print_out('Warning! SAPT argument "ref_wfn" is only able to use molecule information.')
        sapt_dimer = ref_wfn.molecule()

    sapt_dimer, monomerA, monomerB = proc_util.prepare_sapt_molecule(sapt_dimer, "dimer")

    # Grab overall settings
    mon_a_shift = core.get_option("SAPT", "SAPT_DFT_GRAC_SHIFT_A")
    mon_b_shift = core.get_option("SAPT", "SAPT_DFT_GRAC_SHIFT_B")
    do_delta_hf = core.get_option("SAPT", "SAPT_DFT_DO_DHF")
    sapt_dft_functional = core.get_option("SAPT", "SAPT_DFT_FUNCTIONAL")

    # Print out the title and some information
    core.print_out("\n")
    core.print_out("         ---------------------------------------------------------\n")
    core.print_out("         " + "SAPT(DFT) Procedure".center(58) + "\n")
    core.print_out("\n")
    core.print_out("         " + "by Daniel G. A. Smith".center(58) + "\n")
    core.print_out("         ---------------------------------------------------------\n")
    core.print_out("\n")

    core.print_out("  !!!  WARNING:  SAPT(DFT) capability is in beta. Please use with caution. !!!\n\n")

    core.print_out("  ==> Algorithm <==\n\n")
    core.print_out("   SAPT DFT Functional     %12s\n" % str(sapt_dft_functional))
    core.print_out("   Monomer A GRAC Shift    %12.6f\n" % mon_a_shift)
    core.print_out("   Monomer B GRAC Shift    %12.6f\n" % mon_b_shift)
    core.print_out("   Delta HF                %12s\n" % ("True" if do_delta_hf else "False"))
    core.print_out("   JK Algorithm            %12s\n" % core.get_global_option("SCF_TYPE"))
    core.print_out("\n")
    core.print_out("   Required computations:\n")
    if (do_delta_hf):
        core.print_out("     HF  (Dimer)\n")
        core.print_out("     HF  (Monomer A)\n")
        core.print_out("     HF  (Monomer B)\n")
    core.print_out("     DFT (Monomer A)\n")
    core.print_out("     DFT (Monomer B)\n")
    core.print_out("\n")

    if (sapt_dft_functional != "HF") and ((mon_a_shift == 0.0) or (mon_b_shift == 0.0)):
        raise ValidationError('SAPT(DFT): must set both "SAPT_DFT_GRAC_SHIFT_A" and "B".')

    if (core.get_option('SCF', 'REFERENCE') != 'RHF'):
        raise ValidationError('SAPT(DFT) currently only supports restricted references.')

    core.IO.set_default_namespace('dimer')
    data = {}

    if (core.get_global_option('SCF_TYPE') == 'DF'):
        # core.set_global_option('DF_INTS_IO', 'LOAD')
        core.set_global_option('DF_INTS_IO', 'SAVE')

    # # Compute dimer wavefunction
    hf_wfn_dimer = None
    if do_delta_hf:
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.set_global_option('DF_INTS_IO', 'SAVE')

        core.timer_on("SAPT(DFT): Dimer SCF")
        hf_data = {}
        hf_wfn_dimer = scf_helper("SCF", molecule=sapt_dimer, banner="SAPT(DFT): delta HF Dimer", **kwargs)
        hf_data["HF DIMER"] = core.get_variable("CURRENT ENERGY")
        core.timer_off("SAPT(DFT): Dimer SCF")

        core.timer_on("SAPT(DFT): Monomer A SCF")
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.IO.change_file_namespace(97, 'dimer', 'monomerA')

        hf_wfn_A = scf_helper("SCF", molecule=monomerA, banner="SAPT(DFT): delta HF Monomer A", **kwargs)
        hf_data["HF MONOMER A"] = core.get_variable("CURRENT ENERGY")
        core.timer_off("SAPT(DFT): Monomer A SCF")

        core.timer_on("SAPT(DFT): Monomer B SCF")
        core.set_global_option("SAVE_JK", True)
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.IO.change_file_namespace(97, 'monomerA', 'monomerB')

        hf_wfn_B = scf_helper("SCF", molecule=monomerB, banner="SAPT(DFT): delta HF Monomer B", **kwargs)
        hf_data["HF MONOMER B"] = core.get_variable("CURRENT ENERGY")
        core.set_global_option("SAVE_JK", False)
        core.timer_off("SAPT(DFT): Monomer B SCF")

        # Grab JK object and set to A (so we do not save many JK objects)
        sapt_jk = hf_wfn_B.jk()
        hf_wfn_A.set_jk(sapt_jk)
        core.set_global_option("SAVE_JK", False)

        # Move it back to monomer A
        if (core.get_global_option('SCF_TYPE') == 'DF'):
            core.IO.change_file_namespace(97, 'monomerB', 'dimer')

        core.print_out("\n")
        core.print_out("         ---------------------------------------------------------\n")
        core.print_out("         " + "SAPT(DFT): delta HF Segment".center(58) + "\n")
        core.print_out("\n")
        core.print_out("         " + "by Daniel G. A. Smith and Rob Parrish".center(58) + "\n")
        core.print_out("         ---------------------------------------------------------\n")
        core.print_out("\n")

        # Build cache
        hf_cache = sapt_jk_terms.build_sapt_jk_cache(hf_wfn_A, hf_wfn_B, sapt_jk, True)

        # Electrostatics
        core.timer_on("SAPT(DFT):SAPT:elst")
        elst = sapt_jk_terms.electrostatics(hf_cache, True)
        hf_data.update(elst)
        core.timer_off("SAPT(DFT):SAPT:elst")

        # Exchange
        core.timer_on("SAPT(DFT):SAPT:exch")
        exch = sapt_jk_terms.exchange(hf_cache, sapt_jk, True)
        hf_data.update(exch)
        core.timer_off("SAPT(DFT):SAPT:exch")

        # Induction
        core.timer_on("SAPT(DFT):SAPT:ind")
        ind = sapt_jk_terms.induction(
            hf_cache,
            sapt_jk,
            True,
            maxiter=core.get_option("SAPT", "MAXITER"),
            conv=core.get_option("SAPT", "D_CONVERGENCE"),
            Sinf=core.get_option("SAPT", "DO_IND_EXCH_SINF"))
        hf_data.update(ind)
        core.timer_off("SAPT(DFT):SAPT:ind")

        dhf_value = hf_data["HF DIMER"] - hf_data["HF MONOMER A"] - hf_data["HF MONOMER B"]

        core.print_out("\n")
        core.print_out(print_sapt_hf_summary(hf_data, "SAPT(HF)", delta_hf=dhf_value))

        data["Delta HF Correction"] = core.get_variable("SAPT(DFT) Delta HF")
        sapt_jk.finalize()

        del hf_wfn_A, hf_wfn_B, sapt_jk

    if hf_wfn_dimer is None:
        dimer_wfn = core.Wavefunction.build(sapt_dimer, core.get_global_option("BASIS"))
    else:
        dimer_wfn = hf_wfn_dimer

    # Set the primary functional
    core.set_local_option('SCF', 'REFERENCE', 'RKS')

    # Compute Monomer A wavefunction
    core.timer_on("SAPT(DFT): Monomer A DFT")
    if (core.get_global_option('SCF_TYPE') == 'DF'):
        core.IO.change_file_namespace(97, 'dimer', 'monomerA')

    if mon_a_shift:
        core.set_global_option("DFT_GRAC_SHIFT", mon_a_shift)

    core.IO.set_default_namespace('monomerA')
    wfn_A = scf_helper(
        sapt_dft_functional, post_scf=False, molecule=monomerA, banner="SAPT(DFT): DFT Monomer A", **kwargs)
    data["DFT MONOMERA"] = core.get_variable("CURRENT ENERGY")

    core.set_global_option("DFT_GRAC_SHIFT", 0.0)
    core.timer_off("SAPT(DFT): Monomer A DFT")

    # Compute Monomer B wavefunction
    core.timer_on("SAPT(DFT): Monomer B DFT")
    if (core.get_global_option('SCF_TYPE') == 'DF'):
        core.IO.change_file_namespace(97, 'monomerA', 'monomerB')

    if mon_b_shift:
        core.set_global_option("DFT_GRAC_SHIFT", mon_b_shift)

    core.set_global_option("SAVE_JK", True)
    core.IO.set_default_namespace('monomerB')
    wfn_B = scf_helper(
        sapt_dft_functional, post_scf=False, molecule=monomerB, banner="SAPT(DFT): DFT Monomer B", **kwargs)
    data["DFT MONOMERB"] = core.get_variable("CURRENT ENERGY")

    # Save JK object
    sapt_jk = wfn_B.jk()
    wfn_A.set_jk(sapt_jk)
    core.set_global_option("SAVE_JK", False)

    core.set_global_option("DFT_GRAC_SHIFT", 0.0)
    core.timer_off("SAPT(DFT): Monomer B DFT")

    # Write out header
    scf_alg = core.get_global_option("SCF_TYPE")
    sapt_dft_header(sapt_dft_functional, mon_a_shift, mon_b_shift, bool(do_delta_hf), scf_alg)

    # Call SAPT(DFT)
    sapt_jk = wfn_B.jk()
    sapt_dft(dimer_wfn, wfn_A, wfn_B, sapt_jk=sapt_jk, data=data, print_header=False)

    # Copy data back into globals
    for k, v in data.items():
        core.set_variable(k, v)

    core.tstop()

    return dimer_wfn
Exemplo n.º 13
0
def sapt_dft(dimer_wfn, wfn_A, wfn_B, sapt_jk=None, sapt_jk_B=None, data=None, print_header=True, cleanup_jk=True):
    """
    The primary SAPT(DFT) algorithm to compute the interaction energy once the wavefunctions have been built.

    Example
    -------

    dimer = psi4.geometry('''
      Ne
      --
      Ar 1 6.5
      units bohr
    ''')

    psi4.set_options({"BASIS": "aug-cc-pVDZ"})

    # Prepare the fragments
    sapt_dimer, monomerA, monomerB = psi4.proc_util.prepare_sapt_molecule(sapt_dimer, "dimer")

    # Run the first monomer
    set DFT_GRAC_SHIFT 0.203293
    wfnA, energyA = psi4.energy("PBE0", monomer=monomerA, return_wfn=True)

    # Run the second monomer
    set DFT_GRAC_SHIFT 0.138264
    wfnB, energyB = psi4.energy("PBE0", monomer=monomerB, return_wfn=True)

    # Build the dimer wavefunction
    wfnD = psi4.core.Wavefunction.build(sapt_dimer)

    # Compute SAPT(DFT) from the provided wavefunctions
    data = psi4.procrouting.sapt.sapt_dft(wfnD, wfnA, wfnB)
    """

    # Handle the input options
    core.timer_on("SAPT(DFT):SAPT(DFT):JK")
    if print_header:
        sapt_dft_header()

    if sapt_jk is None:

        core.print_out("\n   => Building SAPT JK object <= \n\n")
        sapt_jk = core.JK.build(dimer_wfn.basisset())
        sapt_jk.set_do_J(True)
        sapt_jk.set_do_K(True)
        if wfn_A.functional().is_x_lrc():
            sapt_jk.set_do_wK(True);
            sapt_jk.set_omega(wfn_A.functional().x_omega());
        sapt_jk.initialize()
        sapt_jk.print_header()

        if wfn_B.functional().is_x_lrc() and (wfn_A.functional().x_omega() != wfn_B.functional().x_omega()):
            core.print_out("   => Monomer B: Building SAPT JK object <= \n\n")
            core.print_out("      Reason: MonomerA Omega != MonomerB Omega\n\n")
            sapt_jk_B = core.JK.build(dimer_wfn.basisset())
            sapt_jk_B.set_do_J(True)
            sapt_jk_B.set_do_K(True)
            sapt_jk_B.set_do_wK(True);
            sapt_jk_B.set_omega(wfn_B.functional().x_omega());
            sapt_jk_B.initialize()
            sapt_jk_B.print_header()
    else:
        sapt_jk.set_do_K(True)

    if data is None:
        data = {}

    # Build SAPT cache
    cache = sapt_jk_terms.build_sapt_jk_cache(wfn_A, wfn_B, sapt_jk, True)
    core.timer_off("SAPT(DFT):SAPT(DFT):JK")

    # Electrostatics
    core.timer_on("SAPT(DFT):SAPT(DFT):elst")
    elst = sapt_jk_terms.electrostatics(cache, True)
    data.update(elst)
    core.timer_off("SAPT(DFT):SAPT(DFT):elst")

    # Exchange
    core.timer_on("SAPT(DFT):SAPT(DFT):exch")
    exch = sapt_jk_terms.exchange(cache, sapt_jk, True)
    data.update(exch)
    core.timer_off("SAPT(DFT):SAPT(DFT):exch")

    # Induction
    core.timer_on("SAPT(DFT):SAPT(DFT):ind")
    ind = sapt_jk_terms.induction(
        cache,
        sapt_jk,
        True,
        sapt_jk_B=sapt_jk_B,
        maxiter=core.get_option("SAPT", "MAXITER"),
        conv=core.get_option("SAPT", "D_CONVERGENCE"),
        Sinf=core.get_option("SAPT", "DO_IND_EXCH_SINF"))
    data.update(ind)
    core.timer_off("SAPT(DFT):SAPT(DFT):ind")

    # Blow away JK object before doing MP2 for memory considerations
    if cleanup_jk:
        sapt_jk.finalize()

    # Dispersion
    core.timer_on("SAPT(DFT):SAPT(DFT):disp")
    primary_basis = wfn_A.basisset()
    core.print_out("\n")
    aux_basis = core.BasisSet.build(dimer_wfn.molecule(), "DF_BASIS_MP2",
                                    core.get_option("DFMP2", "DF_BASIS_MP2"), "RIFIT", core.get_global_option('BASIS'))
    fdds_disp = sapt_mp2_terms.df_fdds_dispersion(primary_basis, aux_basis, cache)
    data.update(fdds_disp)

    if core.get_option("SAPT", "SAPT_DFT_MP2_DISP_ALG") == "FISAPT":
        mp2_disp = sapt_mp2_terms.df_mp2_fisapt_dispersion(wfn_A, primary_basis, aux_basis, cache, do_print=True)
    else:
        mp2_disp = sapt_mp2_terms.df_mp2_sapt_dispersion(
            dimer_wfn, wfn_A, wfn_B, primary_basis, aux_basis, cache, do_print=True)
    data.update(mp2_disp)
    core.timer_off("SAPT(DFT):SAPT(DFT):disp")

    # Print out final data
    core.print_out("\n")
    core.print_out(print_sapt_dft_summary(data, "SAPT(DFT)"))

    return data
Exemplo n.º 14
0
def fisapt_compute_energy(self):
    """Computes the FSAPT energy. FISAPT::compute_energy"""

    # => Header <=

    self.print_header()

    # => Zero-th Order Wavefunction <=

    core.timer_on("FISAPT: Setup")
    self.localize()
    self.partition()
    self.overlap()
    self.kinetic()
    self.nuclear()
    self.coulomb()
    core.timer_off("FISAPT: Setup")
    core.timer_on("FISAPT: Monomer SCF")
    self.scf()
    core.timer_off("FISAPT: Monomer SCF")
    self.freeze_core()
    self.unify()
    core.timer_on("FISAPT: Subsys E")
    self.dHF()
    core.timer_off("FISAPT: Subsys E")

    # => SAPT0 <=

    core.timer_on("FISAPT:SAPT:elst")
    self.elst()
    core.timer_off("FISAPT:SAPT:elst")
    core.timer_on("FISAPT:SAPT:exch")
    self.exch()
    core.timer_off("FISAPT:SAPT:exch")
    core.timer_on("FISAPT:SAPT:ind")
    self.ind()
    core.timer_off("FISAPT:SAPT:ind")
    if not core.get_option("FISAPT", "FISAPT_DO_FSAPT"):
        core.timer_on("FISAPT:SAPT:disp")
        self.disp(matrices_, vectors_, true)  # Expensive, only do if needed
        core.timer_off("FISAPT:SAPT:disp")

    # => F-SAPT0 <=

    if core.get_option("FISAPT", "FISAPT_DO_FSAPT"):
        core.timer_on("FISAPT:FSAPT:loc")
        self.flocalize()
        core.timer_off("FISAPT:FSAPT:loc")
        core.timer_on("FISAPT:FSAPT:elst")
        self.felst()
        core.timer_off("FISAPT:FSAPT:elst")
        core.timer_on("FISAPT:FSAPT:exch")
        self.fexch()
        core.timer_off("FISAPT:FSAPT:exch")
        core.timer_on("FISAPT:FSAPT:ind")
        self.find()
        core.timer_off("FISAPT:FSAPT:ind")
        core.timer_on("FISAPT:FSAPT:disp")
        self.fdisp()
        core.timer_off("FISAPT:FSAPT:disp")
        self.fdrop()

    # => Scalar-Field Analysis <=

    if core.get_option("FISAPT", "FISAPT_DO_PLOT"):
        core.timer_on("FISAPT:FSAPT:cubeplot")
        self.plot()
        core.timer_off("FISAPT:FSAPT:cubeplot")

    # => Summary <=

    self.print_trailer()
Exemplo n.º 15
0
def scf_initialize(self):
    """Specialized initialization, compute integrals and does everything to prepare for iterations"""

    # Figure out memory distributions

    # Get memory in terms of doubles
    total_memory = (core.get_memory() / 8) * core.get_global_option("SCF_MEM_SAFETY_FACTOR")

    # Figure out how large the DFT collocation matrices are
    vbase = self.V_potential()
    if vbase:
        collocation_size = vbase.grid().collocation_size()
        if vbase.functional().ansatz() == 1:
            collocation_size *= 4 # First derivs
        elif vbase.functional().ansatz() == 2:
            collocation_size *= 10 # Second derivs
    else:
        collocation_size = 0

    # Change allocation for collocation matrices based on DFT type
    jk = _build_jk(self, total_memory)
    jk_size = jk.memory_estimate()

    # Give remaining to collocation
    if total_memory > jk_size:
        collocation_memory = total_memory - jk_size
    # Give up to 10% to collocation
    elif (total_memory * 0.1) > collocation_size:
        collocation_memory = collocation_size
    else:
        collocation_memory = total_memory * 0.1

    if collocation_memory > collocation_size:
        collocation_memory = collocation_size

    # Set constants
    self.iteration_ = 0
    self.memory_jk_ = int(total_memory - collocation_memory)
    self.memory_collocation_ = int(collocation_memory)

    # Print out initial docc/socc/etc data
    if self.get_print():
        core.print_out("  ==> Pre-Iterations <==\n\n")
        self.print_preiterations()

    if self.get_print():
        core.print_out("  ==> Integral Setup <==\n\n")

    # Initialize EFP
    efp_enabled = hasattr(self.molecule(), 'EFP')
    if efp_enabled:
        # EFP: Set QM system, options, and callback. Display efp geom in [A]
        efpobj = self.molecule().EFP
        core.print_out(efpobj.banner())
        core.print_out(efpobj.geometry_summary(units_to_bohr=constants.bohr2angstroms))

        efpptc, efpcoords, efpopts = get_qm_atoms_opts(self.molecule())
        efpobj.set_point_charges(efpptc, efpcoords)
        efpobj.set_opts(efpopts, label='psi', append='psi')

        efpobj.set_electron_density_field_fn(field_fn)

    # Initilize all integratals and perform the first guess
    if self.attempt_number_ == 1:
        mints = core.MintsHelper(self.basisset())
        if core.get_global_option('RELATIVISTIC') in ['X2C', 'DKH']:
            mints.set_rel_basisset(self.get_basisset('BASIS_RELATIVISTIC'))

        mints.one_electron_integrals()
        self.initialize_jk(self.memory_jk_, jk=jk)
        if self.V_potential():
            self.V_potential().build_collocation_cache(self.memory_collocation_)

        core.timer_on("HF: Form core H")
        self.form_H()
        core.timer_off("HF: Form core H")

        if efp_enabled:
            # EFP: Add in permanent moment contribution and cache
            core.timer_on("HF: Form Vefp")
            verbose = core.get_option('SCF', "PRINT")
            Vefp = modify_Fock_permanent(self.molecule(), mints, verbose=verbose-1)
            Vefp = core.Matrix.from_array(Vefp)
            self.H().add(Vefp)
            Horig = self.H().clone()
            self.Horig = Horig
            core.print_out("  QM/EFP: iterating Total Energy including QM/EFP Induction\n")
            core.timer_off("HF: Form Vefp")

        core.timer_on("HF: Form S/X")
        self.form_Shalf()
        core.timer_off("HF: Form S/X")

        core.timer_on("HF: Guess")
        self.guess()
        core.timer_off("HF: Guess")

    else:
        # We're reading the orbitals from the previous set of iterations.
        self.form_D()
        self.set_energies("Total Energy", self.compute_initial_E())


    # turn off VV10 for iterations
    if core.get_option('SCF', "DFT_VV10_POSTSCF") and self.functional().vv10_b() > 0.0:
        core.print_out("  VV10: post-SCF option active \n \n")
        self.functional().set_lock(False)
        self.functional().set_do_vv10(False)
        self.functional().set_lock(True)