root / ase / test / hcp.py @ 1
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1 | 1 | tkerber | try:
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2 | 1 | tkerber | import scipy |
3 | 1 | tkerber | except ImportError: |
4 | 1 | tkerber | from ase.test import NotAvailable |
5 | 1 | tkerber | raise NotAvailable('This test needs scipy module.') |
6 | 1 | tkerber | |
7 | 1 | tkerber | import numpy as np |
8 | 1 | tkerber | from ase.io import read, PickleTrajectory |
9 | 1 | tkerber | from ase.structure import bulk |
10 | 1 | tkerber | from ase.calculators.emt import EMT |
11 | 1 | tkerber | |
12 | 1 | tkerber | a0 = 3.52 / np.sqrt(2) |
13 | 1 | tkerber | c0 = np.sqrt(8 / 3.0) * a0 |
14 | 1 | tkerber | print '%.4f %.3f' % (a0, c0 / a0) |
15 | 1 | tkerber | for i in range(3): |
16 | 1 | tkerber | traj = PickleTrajectory('Ni.traj', 'w') |
17 | 1 | tkerber | eps = 0.01
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18 | 1 | tkerber | for a in a0 * np.linspace(1 - eps, 1 + eps, 4): |
19 | 1 | tkerber | for c in c0 * np.linspace(1 - eps, 1 + eps, 4): |
20 | 1 | tkerber | ni = bulk('Ni', 'hcp', a=a, covera=c / a) |
21 | 1 | tkerber | ni.set_calculator(EMT()) |
22 | 1 | tkerber | ni.get_potential_energy() |
23 | 1 | tkerber | traj.write(ni) |
24 | 1 | tkerber | |
25 | 1 | tkerber | configs = read('Ni.traj@:')
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26 | 1 | tkerber | energies = [config.get_potential_energy() for config in configs] |
27 | 1 | tkerber | ac = [(config.cell[0, 0], config.cell[2, 2]) for config in configs] |
28 | 1 | tkerber | from ase.optimize import polyfit |
29 | 1 | tkerber | p = polyfit(ac, energies) |
30 | 1 | tkerber | from scipy.optimize import fmin_bfgs |
31 | 1 | tkerber | a0, c0 = fmin_bfgs(p, (a0, c0)) |
32 | 1 | tkerber | print '%.4f %.3f' % (a0, c0 / a0) |
33 | 1 | tkerber | assert abs(a0 - 2.469) < 0.001 |
34 | 1 | tkerber | assert abs(c0 / a0 - 1.624) < 0.005 |
35 | 1 | tkerber |