예제 #1
0
    def optimize(self, shot=0, method="newton", crit=1e-4):

        """ Optimize the geometry and align the optimized geometry to the starting geometry. """

        if os.path.exists("%s.xyz_2" % self.name):
            os.unlink("%s.xyz_2" % self.name)

        self.mol[shot].write("%s.xyz" % self.name, ftype="tinker")

        if method == "newton":
            if self.rigid:
                optprog = "optrigid"
            else:
                optprog = "optimize"
        elif method == "bfgs":
            if self.rigid:
                optprog = "minrigid"
            else:
                optprog = "minimize"

        o = self.calltinker("%s %s.xyz %f" % (optprog, self.name, crit))
        # Silently align the optimized geometry.
        M12 = Molecule("%s.xyz" % self.name, ftype="tinker") + Molecule("%s.xyz_2" % self.name, ftype="tinker")
        if not self.pbc:
            M12.align(center=False)
        M12[1].write("%s.xyz_2" % self.name, ftype="tinker")
        rmsd = M12.ref_rmsd(0)[1]
        cnvgd = 0
        mode = 0
        for line in o:
            s = line.split()
            if len(s) == 0:
                continue
            if "Optimally Conditioned Variable Metric Optimization" in line:
                mode = 1
            if "Limited Memory BFGS Quasi-Newton Optimization" in line:
                mode = 1
            if mode == 1 and isint(s[0]):
                mode = 2
            if mode == 2:
                if isint(s[0]):
                    E = float(s[1])
                else:
                    mode = 0
            if "Normal Termination" in line:
                cnvgd = 1
        if not cnvgd:
            for line in o:
                logger.info(str(line) + "\n")
            logger.info("The minimization did not converge in the geometry optimization - printout is above.\n")
        return E, rmsd
예제 #2
0
    def optimize(self, shot=0, method="newton", crit=1e-4):
        """ Optimize the geometry and align the optimized geometry to the starting geometry. """

        logger.error(
            'Geometry optimizations are not yet implemented in AMBER interface'
        )
        raise NotImplementedError

        # Code from tinkerio.py
        if os.path.exists('%s.xyz_2' % self.name):
            os.unlink('%s.xyz_2' % self.name)
        self.mol[shot].write('%s.xyz' % self.name, ftype="tinker")
        if method == "newton":
            if self.rigid: optprog = "optrigid"
            else: optprog = "optimize"
        elif method == "bfgs":
            if self.rigid: optprog = "minrigid"
            else: optprog = "minimize"
        o = self.calltinker("%s %s.xyz %f" % (optprog, self.name, crit))
        # Silently align the optimized geometry.
        M12 = Molecule("%s.xyz" % self.name, ftype="tinker") + Molecule(
            "%s.xyz_2" % self.name, ftype="tinker")
        if not self.pbc:
            M12.align(center=False)
        M12[1].write("%s.xyz_2" % self.name, ftype="tinker")
        rmsd = M12.ref_rmsd(0)[1]
        cnvgd = 0
        mode = 0
        for line in o:
            s = line.split()
            if len(s) == 0: continue
            if "Optimally Conditioned Variable Metric Optimization" in line:
                mode = 1
            if "Limited Memory BFGS Quasi-Newton Optimization" in line:
                mode = 1
            if mode == 1 and isint(s[0]): mode = 2
            if mode == 2:
                if isint(s[0]): E = float(s[1])
                else: mode = 0
            if "Normal Termination" in line:
                cnvgd = 1
        if not cnvgd:
            for line in o:
                logger.info(str(line) + '\n')
            logger.info(
                "The minimization did not converge in the geometry optimization - printout is above.\n"
            )
        return E, rmsd