LobsterPy: A package to automatically analyze LOBSTER runs

Python Submitted 19 January 2024Published 27 February 2024
Review

Editor: @RMeli (all papers)
Reviewers: @berquist (all reviews), @srmnitc (all reviews)

Authors

Aakash Ashok Naik (0000-0002-6071-6786), Katharina Ueltzen (0009-0003-2967-1182), Christina Ertural (0000-0002-7696-5824), Adam J. Jackson (0000-0001-5272-6530), Janine George (0000-0001-8907-0336)

Citation

Naik et al., (2024). LobsterPy: A package to automatically analyze LOBSTER runs. Journal of Open Source Software, 9(94), 6286, https://doi.org/10.21105/joss.06286

@article{Naik2024, doi = {10.21105/joss.06286}, url = {https://doi.org/10.21105/joss.06286}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {94}, pages = {6286}, author = {Aakash Ashok Naik and Katharina Ueltzen and Christina Ertural and Adam J. Jackson and Janine George}, title = {LobsterPy: A package to automatically analyze LOBSTER runs}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Automation Bonding 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