| import ase |
| from ase.build import bulk |
| import torch |
| from pymatgen.core.structure import Structure |
| from matris.applications.relax import StructOptimizer |
|
|
| model_name = "matris_10m_oam" |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
|
|
| matris_opt = StructOptimizer( |
| model=model_name, |
| task = "efsm", |
| optimizer = "FIRE", |
| device=device |
| ) |
|
|
| atom = Structure.from_file(f"example/cif_file/demo.cif") |
|
|
| max_steps = 500 |
| fmax = 0.05 |
| opt_result = matris_opt.relax( |
| atoms=atom, |
| verbose=True, |
| steps=max_steps, |
| fmax=fmax, |
| relax_cell=max_steps > 0, |
| ase_filter="FrechetCellFilter", |
| ) |
|
|
| trajectory = opt_result['trajectory'] |
| energy = trajectory.energies[-1] |
| force = trajectory.forces[-1] |
| stress = trajectory.stresses[-1] |
| magmom = trajectory.magmoms[-1] |
|
|
| final_structure = opt_result['final_structure'] |