MACE: a Machine-learning Approach to Chemistry Emulation
Authors
- L. Decin (ORCID: https://orcid.org/0000-0002-5342-8612)
- Frederik De Ceuster (ORCID: https://orcid.org/0000-0001-5887-8498)
- Silke Maes (ORCID: https://orcid.org/0000-0003-4159-9964)
- M. Van de Sande (ORCID: https://orcid.org/0000-0001-9298-6265)
Institutions
- Leiden University (NL)
- University of Leeds (GB)
- Institute of Astronomy (RU)
- KU Leuven (BE)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-04-04
- DOI
- https://doi.org/10.21105/joss.07148
- Primary Topic
- Analytical Chemistry and Chromatography
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Fonds Wetenschappelijk Onderzoek
- KU Leuven
- Vlaamse regering