Metadata-Version: 2.4
Name: exogibbs
Version: 0.2.3
Summary: Differentiable Thermochemical Equilibrium Solver for Exoplanet Atmospheres
Author-email: Hajime Kawahara <divrot@gmail.com>
Maintainer-email: Hajime Kawahara <divrot@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/HajimeKawahara/exogibbs
Project-URL: Repository, https://github.com/HajimeKawahara/exogibbs
Project-URL: Issues, https://github.com/HajimeKawahara/exogibbs/issues
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: interpax
Requires-Dist: jax<0.7,>=0.4.30
Requires-Dist: tqdm
Requires-Dist: pandas
Requires-Dist: thermochem
Dynamic: license-file

# ExoGibbs

Differentiable Thermochemical Equilibrium, powered by JAX. 

The optimization scheme is based on the Lagrange multiplier, similar to NASA/CEA algorithm. 
The terminology follows Smith and Missen. 

ExoGibbs is designed to plug into [ExoJAX](https://github.com/HajimeKawahara/exojax) and enable gradient-based equilibrium retrievals. 
It is still in a very beta stage, so please use it at your own risk.
