DOE / Nuclear, Bayesian Optimization for Automatic Reactor Design Optimization

Oct 1, 2023

Overall Information

PI (10/2023–09/2026): Bayesian optimization for automatic reactor design optimization. Total \$1M (my effort 40%). Team: Andi Wang.

Software Funded DOE
Hao Yan
Hao Yan
Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering

My research interests include Data Science for Complex Systems.

Publications

MOOSE ProbML: Parallelized probabilistic machine learning and uncertainty quantification for computational energy applications
Parallelized probabilistic ML and UQ for computational energy applications (MOOSE ProbML).
Project DOI