Equiformer_v3 / elastic.py
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"""Fit an elastic tensor from Equiformer V3 stress predictions."""
from __future__ import annotations
import argparse
import os
from pathlib import Path
os.environ.setdefault(
"ONESCIENCE_EQUIFORMER_V3_JD_PATH",
str(Path(__file__).resolve().parent / "weight" / "Jd.pt"),
)
from ase.build import bulk
from ase.io import read, write
from onescience.utils.equiformer_v3 import (
EquiformerV3Calculator,
relax_structure,
run_elastic_workflow,
write_workflow_result,
)
def default_checkpoint() -> str:
return str(
Path(__file__).resolve().parent
/ "weight"
/ "omat24-mptrj-salex_gradient.pt"
)
def load_structure(path: str | None):
if path:
return read(path)
return bulk("Cu")
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--checkpoint")
parser.add_argument(
"--input",
help="periodic structure readable by ASE; defaults to built-in bulk Cu",
)
parser.add_argument(
"--relax",
action="store_true",
help="relax the cell and atomic positions before applying strains",
)
parser.add_argument(
"--normal-strains", type=float, nargs="+", default=(-0.01, 0.01)
)
parser.add_argument(
"--shear-strains", type=float, nargs="+", default=(-0.02, 0.02)
)
parser.add_argument(
"--relax-positions",
action="store_true",
help="relax atomic positions at fixed cell for every deformation",
)
parser.add_argument("--relax-fmax", type=float, default=0.02)
parser.add_argument("--relax-steps", type=int, default=100)
parser.add_argument("--device", default="cuda")
parser.add_argument("--output", default="outputs/elastic.json")
args = parser.parse_args()
checkpoint = args.checkpoint or default_checkpoint()
calculator = EquiformerV3Calculator.from_checkpoint(
checkpoint, device=args.device
)
structure = load_structure(args.input)
initial_relaxation = None
if args.relax:
structure, initial_relaxation = relax_structure(
structure,
calculator,
relax_cell=True,
fmax=args.relax_fmax,
steps=args.relax_steps,
)
relaxed_output = Path(args.output).with_name("elastic_relaxed.cif")
relaxed_output.parent.mkdir(parents=True, exist_ok=True)
write(relaxed_output, structure)
result = run_elastic_workflow(
structure,
calculator,
normal_strains=args.normal_strains,
shear_strains=args.shear_strains,
relax_positions=args.relax_positions,
relax_fmax=args.relax_fmax,
relax_steps=args.relax_steps,
)
result["checkpoint"] = str(checkpoint)
result["initial_relaxation"] = initial_relaxation
output = write_workflow_result(result, args.output)
print("formula:", result["formula"])
print("bulk modulus, Hill (GPa):", result["bulk_modulus_gpa"]["hill"])
print("result:", output)
if __name__ == "__main__":
main()