SoLiD26: A First Principles Solid-Liquid Interface Dataset for Machine-learned Interatomic Potentials
cond-mat.mtrl-sci, cs.LG, physics.chem-ph, physics.comp-ph
Submitted: 2026-09-23
Updated: 2026-09-23
Code: https://github.com/acesuit/mace
Project page: https://fair-chem.github.io
Terminology
Sources
- A Foundational Potential Energy Surface Dataset for Materials
- Insights into CO dimerization at electrified Cu interfaces from large-scale machine learning simulations
- Cross Learning between Electronic Structure Theories for Unifying Molecular, Surface, and Inorganic Crystal Foundation Force Fields
- Fine-tuning MLIP foundation models: strategies for accuracy and transferability
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