Published September 25, 2025 | Version 2

Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations – 2

  • 1. ROR icon ETH Zurich

Description

This repository contains the lifelong Machine Learning Potential (lMLP) software (version 2.0.0) presented in M. Eckhoff and M. Reiher, Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations, arXiv:2504.11933 [physics.chem-ph] (2025) (10.1021/acs.jctc.5c01127, 10.48550/arXiv.2504.11933). Moreover, the chemical reaction networks, reference data sets, training and model settings, generated output of this work, and scripts for analysis and plotting are provided here.

Please see also the Zenodo repository M. Eckhoff and M. Reiher, Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations – 1, Zenodo 10.5281/zenodo.14689929 (2025).

Files

README.txt

Files (11.5 GB)

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Additional details

Related works

Is supplement to
Preprint: arXiv:2504.11933 (arXiv)
Journal article: 10.1021/acs.jctc.5c01127 (DOI)

Funding

European Commission
ETHFELLOWS - ETH Zurich Postdoctoral Fellowship Program 246543

Software

References

  • M. Eckhoff and M. Reiher, Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations, arXiv:2504.11933 [physics.chem-ph] (2025).
  • M. Eckhoff and M. Reiher, Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations, J. Chem. Theory Comput. (2025).