Prediction calculators for the Ruhr University Neural Network energy representation (RuNNer).
Project description
runnerase-prediction
An ASE Calculator for predicting energies,
forces, and stress for a single structure with RuNNer, built on top of
runner-interface. This is the package to use if you have a trained RuNNer
potential and want to evaluate it on structures from Python — e.g. for
single-point calculations, geometry optimization, molecular dynamics, or
phonon calculations with ASE.
Provides
RuNNerlib: an ASECalculatorthat predicts energies, forces, and stress viactypescalls intolibRuNNer.so.
Usage
from ase.io import read
from runnerase_prediction import RuNNerlib
atoms = read("structure.xyz")
atoms.calc = RuNNerlib(...)
energy = atoms.get_potential_energy()
forces = atoms.get_forces()
Because RuNNerlib is a standard ASE Calculator, it can be used directly
with ASE's optimizers, MD drivers, and phonon utilities.
Documentation
Tutorials covering ASE-based predictions, geometry optimization, MD, and phonon calculations: https://runner.theochem2.rub.de/runnerase-docs/latest/
License
GPL-3.0-or-later. Part of the runnerase project.
Project details
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