Published March 28, 2025
| Version v1.1.0
Software
Open
silkemaes/MACE: MACE: a Machine-learning Approach to Chemistry Emulation
Authors/Creators
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1.
KU Leuven
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2.
Leiden Observatory
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3.
University of Leeds
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4.
University of Leeds, School of Chemistry
Description
MACE, a Machine-learning Approach to Chemistry Emulation, by Maes et al. (2024), is a surrogate model for chemical kinetics. It is developed in the contexts of circumstellar envelopes (CSEs) of asymptotic giant branch (AGB) stars, i.e. evolved low-mass stars.
Files
silkemaes/MACE-v1.1.0.zip
Files
(41.8 MB)
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md5:ec2c58aef37f97617fd773c8f4955acf
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Additional details
Related works
- Is supplement to
- Software: https://github.com/silkemaes/MACE/tree/v1.1.0 (URL)
Software
- Repository URL
- https://github.com/silkemaes/MACE