ergodicio/adept
Automatic-Differentiation-Enabled Plasma Transport in JAX
This tool helps plasma physicists simulate plasma transport phenomena and automatically calculate derivatives of the simulation outputs with respect to its inputs. It takes configuration files defining plasma parameters and outputs simulation results, which can then be visualized and analyzed using an MLflow UI. Researchers and scientists working with plasma physics or fusion energy applications would use this.
Use this if you need to run differentiable simulations of plasma transport, especially for optimizing plasma behavior, performing inverse design, or integrating with machine learning models.
Not ideal if you are looking for a general-purpose, non-differentiable plasma simulation tool without specific needs for gradient computations or machine learning integration.
Stars
35
Forks
7
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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