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

Python Submitted 21 April 2023Published 23 January 2024
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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 = {Schmidt, Kj and Scourtas, Aristana and Ward, Logan and Wangen, Steve and Schwarting, Marcus and Darling, Isaac and Truelove, Ethan and Ambadkar, Aadit and Bose, Ribhav and Katok, Zoa and Wei, Jingrui and Li, Xiangguo and Jacobs, Ryan and Schultz, Lane and Kim, Doyeon and Ferris, Michael and Voyles, Paul M. and Morgan, Dane and Foster, Ian and Blaiszik, Ben}, title = {Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science}, journal = {Journal of Open Source Software} }
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Machine Learning Artificial Intelligence Materials Science Data

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ISSN 2475-9066