jaxhps: An elliptic PDE solver built with machine learning in mind

Python Submitted 23 June 2025Published 14 November 2025
Review

Editor: @AnjaliSandip (all papers)
Reviewers: @dc-luo (all reviews), @abhijit-c (all reviews)

Authors

Owen Melia (0000-0003-0737-3718), Daniel Fortunato (0000-0003-1302-7184), Jeremy Hoskins (0000-0001-5307-2452), Rebecca Willett (0000-0002-8109-7582)

Citation

Melia et al., (2025). jaxhps: An elliptic PDE solver built with machine learning in mind. Journal of Open Source Software, 10(115), 8549, https://doi.org/10.21105/joss.08549

@article{Melia2025, doi = {10.21105/joss.08549}, url = {https://doi.org/10.21105/joss.08549}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {115}, pages = {8549}, author = {Melia, Owen and Fortunato, Daniel and Hoskins, Jeremy and Willett, Rebecca}, title = {jaxhps: An elliptic PDE solver built with machine learning in mind}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

JAX numerical analysis partial differential equations scientific computing

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