@misc{indiciae0c4f3ac9c310,
  title = {When more data hurts: Optimizing data coverage while mitigating diversity-induced underfitting in an ultrafast machine-learned potential},
  author = {Gibson, Jason B. [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000179745264) and Janicki, Tesia Danielle [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000160086414) and Hire, Ajinkya C. [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000331472521) and Bishop, Chris [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)] and Lane, J. Matthew Doyle [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000278789158) and Hennig, Richard G. [Univ. of Florida, Gainesville, FL (United States)] (ORCID:0000000349337686)},
  year = {2025},
  doi = {10.1103/physrevmaterials.9.043802},
  url = {https://www.osti.gov/biblio/2999427},
  note = {Source identifier: 2999427}
}