Published September 25, 2025
| Version 2
Software
Open
Lifelong Machine Learning Potentials for Chemical Reaction Network Explorations – 2
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
Additional details
Related works
- Is supplement to
- Preprint: arXiv:2504.11933 (arXiv)
- Journal article: 10.1021/acs.jctc.5c01127 (DOI)
Software
- Repository URL
- https://github.com/ReiherGroup/lmlp
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).