Machine Learning Interatomic Potential for Atmospheric Chemistry
Lucas Bandeira; Hilda Sandström; Patrick Rinke
- Published
- Publisher
- Copernicus GmbH
- Research area
- AI & compute
- Source type
- Preprint / posted paper
- DOI
- 10.5194/egusphere-egu25-15787
This is a preprint or other posted paper. Check the original source for its review and publication status.
The original publisher provides the full text and its access options.
Cite this source
Lucas Bandeira; Hilda Sandström; Patrick Rinke. Machine Learning Interatomic Potential for Atmospheric Chemistry. Copernicus GmbH. 2025-03-15. https://doi.org/10.5194/egusphere-egu25-15787