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| import numpy as np | |
| from ase.build import bulk | |
| from mlip_arena.models import MLIPCalculator | |
| from mlip_arena.models.classicals.zbl import ZBL | |
| def test_zbl(): | |
| calc = MLIPCalculator(model=ZBL(), cutoff=6.0) | |
| energies = [] | |
| forces = [] | |
| stresses = [] | |
| lattice_constants = [1, 3, 5, 7] | |
| for a in lattice_constants: | |
| atoms = bulk("Cu", "fcc", a=a) * (2, 2, 2) | |
| atoms.calc = calc | |
| energies.append(atoms.get_potential_energy()) | |
| forces.append(atoms.get_forces()) | |
| stresses.append(atoms.get_stress(voigt=False)) | |
| # test energy monotonicity | |
| assert all(np.diff(energies) <= 0), "Energy is not monotonically decreasing with increasing lattice constant" | |
| # test force vectors are all zeros due to symmetry | |
| for f in forces: | |
| assert np.allclose(f, 0), "Forces should be zero due to symmetry" | |
| # test trace of stress is monotonically increasing (less negative) and zero beyond cutoff | |
| traces = [np.trace(s) for s in stresses] | |
| assert all(np.diff(traces) >= 0), "Trace of stress is not monotonically increasing with increasing lattice constant" | |
| assert np.allclose(stresses[-1], 0), "Stress should be zero beyond cutoff" | |