@misc{indiciae60240fe9c275,
  title = {Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes},
  author = {Alvi, Sk Md Ahnaf Akif [Texas A \& M Univ., College Station, TX (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] and Mulukutla, Mrinalini [Texas A \& M Univ., College Station, TX (United States)] and Flores, Nicolás [Texas A \& M Univ., College Station, TX (United States)] and Khatamsaz, Danial [Texas A \& M Univ., College Station, TX (United States)] and Janssen, Jan [Max-Planck-Institute for Sustainable Materials, Düsseldorf (Germany)] (ORCID:0000000199487119) and Perez, Danny [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000330285249) and Allaire, Douglas [Texas A \& M Univ., College Station, TX (United States)] and Attari, Vahid [Texas A \& M Univ., College Station, TX (United States)] and Arróyave, Raymundo [Texas A \& M Univ., College Station, TX (United States)]},
  year = {2025},
  doi = {10.1038/s41524-025-01811-2},
  url = {https://www.osti.gov/biblio/3020227},
  note = {Source identifier: 3020227}
}