AutoPDEx: An Automized Partial Differential Equation solver based on JAX

Python Submitted 17 September 2024Published 11 April 2025
Review

Editor: @danielskatz (all papers)
Reviewers: @celliern (all reviews), @janvorisek (all reviews)

Authors

Tobias Bode (0000-0001-7941-7658)

Citation

Bode, T., (2025). AutoPDEx: An Automized Partial Differential Equation solver based on JAX. Journal of Open Source Software, 10(108), 7300, https://doi.org/10.21105/joss.07300

@article{Bode2025, doi = {10.21105/joss.07300}, url = {https://doi.org/10.21105/joss.07300}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {108}, pages = {7300}, author = {Tobias Bode}, title = {AutoPDEx: An Automized Partial Differential Equation solver based on JAX}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

JAX, Partial Differential Equations (PDEs), Automatic Differentiation, Sensitivity Analysis, Machine Learning

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066