"""
amorphgen.pipeline.quench
--------------------------
Stage 5 – Cool the melt from T_start down to T_end via a temperature ramp.
Ensemble is configurable: NVT (default) or NPT.
"""
from __future__ import annotations
from copy import deepcopy
from ase.io import read, write
from ase.md.velocitydistribution import MaxwellBoltzmannDistribution
from ..utils import (get_calculator, build_md_dynamics,
attach_outputs, merge_config)
from ..configs import DEFAULT_CONFIG
[docs]
def run(atoms_or_file, cfg_override=None, calc=None, **kwargs):
"""
Cool the structure from T_start -> T_end.
Parameters
----------
atoms_or_file : str or ase.Atoms
cfg_override : dict, optional
calc : ASE calculator, optional
Returns
-------
ase.Atoms — quenched structure at T_end
"""
global_cfg = merge_config(DEFAULT_CONFIG, cfg_override)
cfg = global_cfg["quench"]
ensemble = cfg.get("ensemble", "NVT").upper()
if isinstance(atoms_or_file, str):
atoms = read(atoms_or_file)
print(f"[Stage 5] Loaded from {atoms_or_file}")
else:
atoms = deepcopy(atoms_or_file)
print("[Stage 5] Using provided Atoms object")
if calc is None:
device = global_cfg.get("device", "cuda")
if device == "auto":
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
calc = get_calculator(
model=global_cfg.get("model", "mace-mpa-0"),
device=device,
model_path=global_cfg.get("model_path"),
)
atoms.calc = calc
T_start = cfg["T_start"]
MaxwellBoltzmannDistribution(atoms, temperature_K=T_start)
dyn = build_md_dynamics(
atoms, ensemble=ensemble, T=T_start,
timestep=cfg.get("timestep", 1.0),
friction=cfg.get("friction", 0.01),
ttime=cfg.get("ttime", 25.0),
)
logfile = cfg.get("log_file", "stage5_quench.log")
trajfile = cfg.get("traj_file", "stage5_quench.xyz")
logger, traj = attach_outputs(dyn, atoms, logfile, trajfile,
fmt=global_cfg.get("traj_format", "extxyz"))
T_end = cfg["T_end"]
T_step = cfg.get("T_step", -100)
timestep_fs = cfg.get("timestep", 1.0)
# Allow rate (K/ps) to auto-calculate steps_per_T
rate = cfg.get("rate")
if rate is not None:
steps = int(round(abs(T_step) / (rate * timestep_fs / 1000)))
steps = max(steps, 1)
else:
steps = cfg.get("steps_per_T", 1000)
# Build temperature list (cooling)
temps = []
T = T_start
while T >= T_end - 1e-6:
temps.append(int(round(T)))
T += T_step
from ..utils.common import compute_density_gcm3
density = compute_density_gcm3(atoms)
actual_rate = abs(T_step) / (steps * timestep_fs / 1000)
print(f"[Stage 5] {ensemble} quench: {T_start} -> {T_end} K "
f"({T_step} K/step, {steps} steps each, {actual_rate:.1f} K/ps) "
f"density={density:.2f} g/cm3")
for T in temps:
dyn.set_temperature(temperature_K=T)
print(f" -> T = {T:5d} K")
dyn.run(steps)
logger.close()
traj.close()
out_xyz = cfg.get("output_xyz", "stage5_quenched.xyz")
write(out_xyz, atoms, format="extxyz")
print(f"[Stage 5] Saved -> {out_xyz}\n")
return atoms