TY  - RPRT
TI  - Deep Gaussian process-based cost-aware batch Bayesian optimization for complex materials design campaigns
AU  - Alvi, Sk Md Ahnaf Akif [Texas A & M Univ., College Station, TX (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)]
AU  - Vela, Brent [Texas A & M Univ., College Station, TX (United States)]
AU  - Attari, Vahid [Texas A & M Univ., College Station, TX (United States)]
AU  - Janssen, Jan [Max Planck Institute for Sustainable Materials, Dusseldorf (Germany)] (ORCID:0000000199487119)
AU  - Perez, Danny [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000330285249)
AU  - Allaire, Douglas [Texas A & M Univ., College Station, TX (United States)]
AU  - Arróyave, Raymundo [Texas A & M Univ., College Station, TX (United States)]
PY  - 2026
DO  - 10.1038/s41524-026-01981-7
UR  - https://www.osti.gov/biblio/3028221
ID  - 3028221
ER  -