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toy_md_integrate.py
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toy_md_integrate.py
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#!/usr/bin/env python3
import math
def put_in_box(box, resnr, coords):
N = len(coords)
cgcm = []
old = -1
invres = []
for i in range(N):
if (resnr[i] != old):
cgcm.append([ 0.0, 0.0, 0.0 ])
invres.append([])
old = resnr[i]
for m in range(3):
cgcm[len(cgcm)-1][m] += coords[i][m]
invres[len(invres)-1].append(i)
N = len(cgcm)
for i in range(N):
for m in range(3):
cgcm[i][m] /= len(invres[i])
for i in range(N):
for m in range(3):
if (cgcm[i][m] > box[m]):
for k in invres[i]:
coords[k][m] -= box[m]
if (cgcm[i][m] <= 0):
for k in invres[i]:
coords[k][m] += box[m]
def integrate(box, coords, velocities, forces, masses, time_step, lambda_T):
N = len(coords)
ekin = 0
for i in range(N):
vel2 = 0
for m in range(3):
vnew = lambda_T*(velocities[i][m] + forces[i][m]*time_step/masses[i])
coords[i][m] += vnew*time_step
velocities[i][m] = vnew
vel2 += vnew**2
ekin += 0.5*masses[i] * vel2
return [ ekin, coords, velocities ]
def compute_lambda_T(T, T_reference, time_step, tau_T):
if (T == 0 or tau_T == 0):
return 1
# GROMACS 5.1 manual, Eqn. 3.45
# Note this is the Berendsen temperature scaling that should
# not be used for production simulations
return math.sqrt(1 + (time_step/tau_T)*(T_reference/T - 1))