TopSearch: a Python package for topographical analysis of machine learning models and physical systems

Python SourcePawn Submitted 03 April 2024Published 02 July 2024
Review

Editor: @crvernon (all papers)
Reviewers: @ml-evs (all reviews), @lbl59 (all reviews)

Authors

Luke Dicks (0000-0002-5278-4412), Edward O. Pyzer-Knapp (0000-0002-8232-8282)

Citation

Dicks et al., (2024). TopSearch: a Python package for topographical analysis of machine learning models and physical systems. Journal of Open Source Software, 9(99), 6711, https://doi.org/10.21105/joss.06711

@article{Dicks2024, doi = {10.21105/joss.06711}, url = {https://doi.org/10.21105/joss.06711}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {99}, pages = {6711}, author = {Luke Dicks and Edward O. Pyzer-Knapp}, title = {TopSearch: a Python package for topographical analysis of machine learning models and physical systems}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

machine learning topography energy landscapes chemical physics

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