root / ase / md / md.py @ 14
Historique | Voir | Annoter | Télécharger (1,04 ko)
| 1 |
"""Molecular Dynamics."""
|
|---|---|
| 2 |
|
| 3 |
import numpy as np |
| 4 |
|
| 5 |
from ase.optimize.optimize import Dynamics |
| 6 |
from ase.data import atomic_masses |
| 7 |
from ase.md.logger import MDLogger |
| 8 |
|
| 9 |
|
| 10 |
class MolecularDynamics(Dynamics): |
| 11 |
"""Base-class for all MD classes."""
|
| 12 |
def __init__(self, atoms, timestep, trajectory, logfile=None, |
| 13 |
loginterval=1):
|
| 14 |
Dynamics.__init__(self, atoms, logfile=None, trajectory=trajectory) |
| 15 |
self.dt = timestep
|
| 16 |
self.masses = self.atoms.get_masses() |
| 17 |
self.masses.shape = (-1, 1) |
| 18 |
if logfile:
|
| 19 |
self.attach(MDLogger(dyn=self, atoms=atoms, logfile=logfile), |
| 20 |
interval=loginterval) |
| 21 |
|
| 22 |
def run(self, steps=50): |
| 23 |
"""Integrate equation of motion."""
|
| 24 |
f = self.atoms.get_forces()
|
| 25 |
|
| 26 |
if not self.atoms.has('momenta'): |
| 27 |
self.atoms.set_momenta(np.zeros_like(f))
|
| 28 |
|
| 29 |
for step in xrange(steps): |
| 30 |
f = self.step(f)
|
| 31 |
self.nsteps += 1 |
| 32 |
self.call_observers()
|
| 33 |
|
| 34 |
def get_time(self): |
| 35 |
return self.nsteps * self.dt |
| 36 |
|