Schultz, Lane E, Afflerbach, Benjamin, Voyles, Paul M, and Morgan, Dane. Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization. Retrieved from https://par.nsf.gov/biblio/10642137. Journal of Materiomics 11.4 Web. doi:10.1016/j.jmat.2024.100964.

Schultz, Lane E, Afflerbach, Benjamin, Voyles, Paul M, & Morgan, Dane. Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization. Journal of Materiomics, 11 (4). Retrieved from https://par.nsf.gov/biblio/10642137. https://doi.org/10.1016/j.jmat.2024.100964

Schultz, Lane E, Afflerbach, Benjamin, Voyles, Paul M, and Morgan, Dane. "Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization". Journal of Materiomics 11 (4). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jmat.2024.100964. https://par.nsf.gov/biblio/10642137.

@article{osti_10642137,
place = {Country unknown/Code not available}, title = {Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization}, url = {https://par.nsf.gov/biblio/10642137}, DOI = {10.1016/j.jmat.2024.100964}, abstractNote = {Not Available}, journal = {Journal of Materiomics}, volume = {11}, number = {4}, publisher = {Elsevier}, author = {Schultz, Lane E and Afflerbach, Benjamin and Voyles, Paul M and Morgan, Dane}, }