Published May 9, 2023 | Version 1
Software Open

Lifelong Machine Learning Potentials

  • 1. ETH Zurich

Description

This repository contains the lifelong Machine Learning Potential (lMLP) software presented in M. Eckhoff, M. Reiher, Lifelong Machine Learning Potentials, J. Chem. Theory Comput. 2023, 19, 3509–3525 (10.1021/acs.jctc.3c00279, arXiv:2303.05911). Moreover, the reference data sets, generated output of this work, and scripts for analysis and plotting are provided here.

Files

Files (5.2 GB)

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md5:22133fa3f432a936b92bf5f6a29a7579
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Additional details

Related works

Is supplement to
Preprint: arXiv:2303.05911 (arXiv)
Journal article: 10.1021/acs.jctc.3c00279 (DOI)

Funding

European Commission
ETHFELLOWS - ETH Zurich Postdoctoral Fellowship Program 246543

References

  • M. Eckhoff, M. Reiher, Lifelong Machine Learning Potentials, arXiv:2303.05911 [cs.LG] 2023.
  • M. Eckhoff, M. Reiher, Lifelong Machine Learning Potentials, J. Chem. Theory Comput. 2023, 19, 3509–3525.