def test_dimer_method():
    # Set up a small "slab" with an adatoms
    atoms = fcc100('Pt', size=(2, 2, 1), vacuum=10.0)
    add_adsorbate(atoms, 'Pt', 1.611, 'hollow')

    # Freeze the "slab"
    mask = [atom.tag > 0 for atom in atoms]
    atoms.set_constraint(FixAtoms(mask=mask))

    # Calculate using EMT
    atoms.set_calculator(EMT())
    atoms.get_potential_energy()

    # Set up the dimer
    d_control = DimerControl(initial_eigenmode_method = 'displacement', \
                             displacement_method = 'vector', logfile = None, \
                             mask = [0, 0, 0, 0, 1])
    d_atoms = MinModeAtoms(atoms, d_control)

    # Displace the atoms
    displacement_vector = [[0.0] * 3] * 5
    displacement_vector[-1][1] = -0.1
    d_atoms.displace(displacement_vector=displacement_vector)

    # Converge to a saddle point
    dim_rlx = MinModeTranslate(d_atoms, trajectory = 'dimer_method.traj', \
                               logfile = None)
    dim_rlx.run(fmax=0.001)

    # Test the results
    tolerance = 1e-3
    assert (d_atoms.get_barrier_energy() - 1.03733136918 < tolerance)
    assert (abs(d_atoms.get_curvature() + 0.900467048707) < tolerance)
    assert (d_atoms.get_eigenmode()[-1][1] < -0.99)
    assert (abs(d_atoms.get_positions()[-1][1]) < tolerance)
def test_dimer_method(testdir):
    # Set up a small "slab" with an adatoms
    atoms = fcc100('Pt', size=(2, 2, 1), vacuum=10.0)
    add_adsorbate(atoms, 'Pt', 1.611, 'hollow')

    # Freeze the "slab"
    mask = [atom.tag > 0 for atom in atoms]
    atoms.set_constraint(FixAtoms(mask=mask))

    # Calculate using EMT
    atoms.calc = EMT()
    atoms.get_potential_energy()

    # Set up the dimer
    with DimerControl(initial_eigenmode_method='displacement',
                      displacement_method='vector',
                      logfile=None,
                      mask=[0, 0, 0, 0, 1]) as d_control:
        d_atoms = MinModeAtoms(atoms, d_control)

        # Displace the atoms
        displacement_vector = [[0.0] * 3] * 5
        displacement_vector[-1][1] = -0.1
        d_atoms.displace(displacement_vector=displacement_vector)

        # Converge to a saddle point
        with MinModeTranslate(d_atoms,
                              trajectory='dimer_method.traj',
                              logfile="dimer_method.log") as dim_rlx:
            dim_rlx.run(fmax=0.001)
Exemple #3
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# Calculate using EMT:
initial.calc = EMT()

# Relax the initial state:
QuasiNewton(initial).run(fmax=0.05)
e0 = initial.get_potential_energy()

traj = Trajectory('dimer_along.traj', 'w', initial)
traj.write()

# Making dimer mask list:
d_mask = [False] * (N - 1) + [True]

# Set up the dimer:
d_control = DimerControl(initial_eigenmode_method='displacement',
                         displacement_method='vector',
                         logfile=None,
                         mask=d_mask)
d_atoms = MinModeAtoms(initial, d_control)

# Displacement settings:
displacement_vector = np.zeros((N, 3))
# Strength of displacement along y axis = along row:
displacement_vector[-1, 1] = 0.001
# The direction of the displacement is set by the a in
# displacement_vector[-1, a], where a can be 0 for x, 1 for y and 2 for z.
d_atoms.displace(displacement_vector=displacement_vector)

# Converge to a saddle point:
dim_rlx = MinModeTranslate(d_atoms, trajectory=traj, logfile=None)
dim_rlx.run(fmax=0.001)
Exemple #4
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    trajname = fname + '.traj'  
    print(trajname)

    traj = Trajectory(trajname, 'w', runner)
    traj.write()

    # Making dimer mask list:
    # d_mask = [atom.index == 69 for atom in initial]
    d_mask = [False] * (N - 1) + [True]  # [0, 0, 0, 0, 1]
    # d_mask = initial.positions[:, 2] - min(initial.positions[:, 2]) < 1 * a 
    # Set up the dimer (gaus is for ramdom rotation std sets up the level):
    d_control = DimerControl(
            initial_eigenmode_method='gauss',
            # initial_eigenmode_method='displacement',
            displacement_method='gauss',  # 'vector',
            # displacement_method='vector',
            gauss_std=0.1,
            trial_angle=pi / 12.0,
            logfile=fname + '.log',
            mask=d_mask)
    """ All the avaiable parameters are:
    parameters = {'eigenmode_method': 'dimer',
                  'f_rot_min': 0.1,
                  'f_rot_max': 1.00,
                  'max_num_rot': 1,
                  'trial_angle': pi / 4.0,
                  'trial_trans_step': 0.001,
                  'maximum_translation': 0.1,
                  'cg_translation': True,
                  'use_central_forces': True,
                  'dimer_separation': 0.0001,
Exemple #5
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# Set up a small "slab" with an adatoms
atoms = fcc100('Pt', size = (2, 2, 1), vacuum = 10.0)
add_adsorbate(atoms, 'Pt', 1.611, 'hollow')

# Freeze the "slab"
mask = [atom.tag > 0 for atom in atoms]
atoms.set_constraint(FixAtoms(mask = mask))

# Calculate using EMT
atoms.set_calculator(EMT())
relaxed_energy = atoms.get_potential_energy()

# Set up the dimer
d_control = DimerControl(initial_eigenmode_method = 'displacement', \
                         displacement_method = 'vector', logfile = None, \
                         mask = [0, 0, 0, 0, 1])
d_atoms = MinModeAtoms(atoms, d_control)

# Dispalce the atoms
displacement_vector = [[0.0]*3]*5
displacement_vector[-1][1] = -0.1
d_atoms.displace(displacement_vector = displacement_vector)

# Converge to a saddle point
dim_rlx = MinModeTranslate(d_atoms, trajectory = 'dimer_method.traj', \
                           logfile = None)
dim_rlx.run(fmax = 0.001)

# Test the results
tolerance = 1e-3
Exemple #6
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             algo="N",
             ismear=0,
             sigma=0.1,
             npar=8,
             lreal="Auto",
             lcharg=False,
             lwave=True,
             directory='calculator')

atoms.set_calculator(calc)

# Set up the dimer
d_control = DimerControl(initial_eigenmode_method='displacement',
                         displacement_method='vector',
                         logfile='dimer_control.log',
                         dimer_separation=0.008,
                         max_num_rot=2,
                         mask=mask,
                         eigenmode_logfile='dimer_eigenmodes.dat')

d_atoms = MinModeAtoms(atoms, d_control)
d_atoms.displace(displacement_vector=displacement_vector)

dim_rlx = MinModeTranslate(d_atoms,
                           trajectory="dimer_opt.traj",
                           logfile="dimer_opt.log")
dim_rlx.run(fmax=0.03)

# remember to add in the constraint
original_atoms = read("vasp_optimized.traj")
energy = atoms.get_potential_energy()
dimer.set_constraint(constraint)
d_mask = [False] * N_fix + [True] * (N_atom - N_fix)

# set gp calculator
gp_file = open('PdAg.gp', 'rb')
gp_model = pickle.load(gp_file)
gp_model.energy_force_kernel = mc_simple.two_plus_three_mc_force_en
dimer.set_calculator(gp_calculator.GPCalculator(gp_model))

# dimer setup
dimer_control = DimerControl(initial_eigenmode_method='displacement',
                             displacement_method='vector',
                             maximum_translation=0.2,
                             trial_trans_step=5.0e-3,
                             dimer_separation=dimer_dist,
                             mask=d_mask,
                             f_rot_min=0.01,
                             f_rot_max=0.2,
                             trial_angle=pi / 4,
                             max_num_rot=2,
                             logfile='%s_control.log' % prefix,
                             eigenmode_logfile='%s_eigenmode.log' % prefix)

dimer_atoms = MinModeAtoms(dimer, dimer_control, eigenmodes=[mode])
dimer_atoms.displace(displacement_vector=mode)

dimer_relax = MinModeTranslate(dimer_atoms,
                               trajectory='%s.traj' % prefix,
                               logfile='%s_relax.log' % prefix)
# also possible to use these:
#dimer_relax = FIRE(dimer_atoms, trajectory='dimer.traj',
#                   restart='restart_file',