Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science

Python Submitted 21 April 2023Published 23 January 2024
Review

Editor: @Fei-Tao (all papers)
Reviewers: @duhd1993 (all reviews), @marshallmcdonnell (all reviews)

Authors

Kj Schmidt (0000-0002-9373-0058), Aristana Scourtas (0000-0002-3917-605X), Logan Ward (0000-0002-1323-5939), Steve Wangen, Marcus Schwarting (0000-0001-6817-7265), Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs (0000-0003-2229-6730), Lane Schultz, Doyeon Kim, Michael Ferris (0000-0002-7652-6776), Paul M. Voyles (0000-0001-9438-4284), Dane Morgan (0000-0002-4911-0046), Ian Foster (0000-0003-2129-5269), Ben Blaiszik (0000-0002-5326-4902)

Citation

Schmidt et al., (2024). Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Journal of Open Source Software, 9(93), 5467, https://doi.org/10.21105/joss.05467

@article{Schmidt2024, doi = {10.21105/joss.05467}, url = {https://doi.org/10.21105/joss.05467}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {93}, pages = {5467}, author = {Kj Schmidt and Aristana Scourtas and Logan Ward and Steve Wangen and Marcus Schwarting and Isaac Darling and Ethan Truelove and Aadit Ambadkar and Ribhav Bose and Zoa Katok and Jingrui Wei and Xiangguo Li and Ryan Jacobs and Lane Schultz and Doyeon Kim and Michael Ferris and Paul M. Voyles and Dane Morgan and Ian Foster and Ben Blaiszik}, title = {Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Machine Learning Artificial Intelligence Materials Science Data

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