Created
December 4, 2017 13:31
-
-
Save cortner/9e2bb6f5cec9994b5d6d1342cc450573 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matscipy | |
import numpy as np | |
import ase | |
from ase import Atoms | |
from ase.calculators.lj import LennardJones | |
# set up a heptamer | |
r0 = 1.0 | |
N = 6 | |
phi = np.linspace(0., (N-1)* 2*np.pi/N, N) | |
x0 = 2.5 # position of center | |
y0 = 2.5 | |
x = x0 + np.r_[0, r0 * np.cos(phi)] | |
y = y0 + np.r_[0, r0 * np.sin(phi)] | |
X = np.c_[x, y, np.zeros(N+1)] | |
at = ase.Atoms("H%d" % len(X), | |
positions=X, | |
cell=np.diag([5, 5, 1.0]), | |
pbc=[True, True, True]) | |
lj = LennardJones(epsilon=1., sigma=1.) | |
at.set_calculator(lj); | |
kBT = 0.1 | |
nsteps = 10**5 | |
dt = 1.e-4 | |
E0 = at.get_potential_energy(at) | |
print("Initial Energy = ", E0) | |
Evals = [0.] | |
#integrate and compute energies | |
for j in range(nsteps): | |
x = at.get_positions().reshape(-1) | |
f = at.get_forces().reshape(-1) | |
x += f*dt + np.sqrt(2. * kBT *dt) * np.random.normal(size=len(x)) | |
at.set_positions(x.reshape((len(at), 3))) | |
Evals.append(at.get_potential_energy(at)-E0) | |
if j % 1000 == 0: | |
print(j, np.mean(Evals)) | |
Ebar = np.mean(Evals) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment