root / ase / test / hcp.py @ 4
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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 |