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calorine - A Python library for building and sampling NEP models via the GPUMD package

Authors: Lindgren, Eric; Rahm, J. Magnus; Fransson, Erik; Eriksson, Fredrik; Österbacka, Nicklas; Fan, Zheyong; Erhart, Paul;

calorine - A Python library for building and sampling NEP models via the GPUMD package

Abstract

calorine is a Python library for constructing and sampling neuroevolution potentials (NEPs) via GPUMD. It provides ASE calculators, IO functions for reading and writing GPUMD input and output files, as well as a Python interface that allows inspection NEP models.

Related Organizations
Keywords

machine-learned potentials, GPUMD, neuroevolution potentials, molecular dynamics

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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!
1
Average
Average
Average