@misc{indiciaebb51f0ecab0e,
  title = {Machine learning interatomic potential for predicting the thermal properties of uranium nitride},
  author = {Chen, Beihan [Pennsylvania State Univ., University Park, PA (United States)] (ORCID:000000025762053X) and Hua, Zilong [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (ORCID:0000000229423344) and Watkins, Jennifer K. [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (ORCID:0000000336735618) and Malakkal, Linu [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (ORCID:0000000348950323) and Khafizov, Marat [The Ohio State Univ., Columbus, OH (United States)] (ORCID:0000000181713528) and Hurley, David H. [Idaho National Laboratory (INL), Idaho Falls, ID (United States)] (ORCID:0000000218451518) and Jin, Miaomiao [Pennsylvania State Univ., University Park, PA (United States)] (ORCID:0000000235434082)},
  year = {2025},
  doi = {10.1063/5.0294389},
  url = {https://www.osti.gov/biblio/3013640},
  note = {Source identifier: 3013640}
}