@misc{indiciae4757bf99863c,
  title = {Developing reliable machine learning interatomic potential for Fe–Cr–Ni austenitic alloys},
  author = {Hao, Shiqiang [National Energy Technology Lab. (NETL), Albany, OR (United States); NETL Support Contractor, Albany, OR (United States)] (ORCID:0000000279854468) and Singh, Prashant [Ames Laboratory (AMES), Ames, IA (United States)] (ORCID:0000000234609290) and Smirnov, Andery V. [Ames Laboratory (AMES), Ames, IA (United States)] (ORCID:0000000338867518) and Johnson, Duane D. [Ames Laboratory (AMES), Ames, IA (United States); Iowa State Univ., Ames, IA (United States)] (ORCID:0000000307947283) and Alman, David E. [National Energy Technology Lab. (NETL), Albany, OR (United States)] (ORCID:0009000546213583) and Gao, Michael C. [National Energy Technology Lab. (NETL), Albany, OR (United States)] (ORCID:000000020515846X)},
  year = {2025},
  doi = {10.1063/5.0280935},
  url = {https://www.osti.gov/biblio/3017388},
  note = {Source identifier: 3017388}
}