K, L., D, P., K, C., B, D., M, G., & J, H. (2023). Exploiting redundancy in large materials datasets for efficient machine learning with less data. Nature communications, 14(1), 7283. https://doi.org/10.1038/s41467-023-42992-y
Chicago Style (17th ed.) CitationK, Li, Persaud D, Choudhary K, DeCost B, Greenwood M, and Hattrick-Simpers J. "Exploiting Redundancy in Large Materials Datasets for Efficient Machine Learning with Less Data." Nature Communications 14, no. 1 (2023): 7283. https://doi.org/10.1038/s41467-023-42992-y.
MLA (9th ed.) CitationK, Li, et al. "Exploiting Redundancy in Large Materials Datasets for Efficient Machine Learning with Less Data." Nature Communications, vol. 14, no. 1, 2023, p. 7283, https://doi.org/10.1038/s41467-023-42992-y.