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ZENODO
Dataset . 2025
License: CC BY NC
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY NC
Data sources: Datacite
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Transferable long-range interactions in machine-learned interatomic potentials: Dataset

Authors: Zaverkin, Viktor; Ferraz, Matheus; Alesiani, Francesco; Christiansen, Henrik; Takamoto, Makoto; Errica, Federico; Niepert, Mathias;

Transferable long-range interactions in machine-learned interatomic potentials: Dataset

Abstract

The point-charge datasets contain synthetic configurations of particles with fixed charges (±1e), where energies and forces are dominated by the Coulomb interactions. The PBC-512 dataset consists of 512 charged particles in a 40 Å periodic box obtained from a molecular dynamics simulation performed with OpenMM. From each periodic frame, isolated clusters containing the central particle and its 89, 179, or 269 nearest neighbors were extracted, yielding the ISO-90/180/270 datasets. These datasets provide a controlled benchmark for assessing the transferability of machine-learned interatomic potentials in systems dominated by long-range electrostatics. Reference energies, forces, and atomic positions can be accessed directly from the .extxyz files using ASE: from ase.io import read traj = read('box_edge_40.0.extxyz', ':') for atoms in traj: print(atoms.info['REF_energy']) # total energy in eV print(atoms.arrays['REF_forces']) # forces in eV/Å print(atoms.get_positions()) # positions in Å

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average