Machine Learning and Artificial Intelligence for Reactor Physics: I

PWR Loading Pattern Optimization with Reinforcement Learning

Paul Seurin (MIT), Koroush Shirvan (MIT)

Parallel Simulated Annealing with Embedded Machine Learning and Multifidelity Models for Reactor Core Design

William Gurecky (ORNL), Ben Collins (ORNL), Paul Laiu (ORNL), Tara Pandya (ORNL), Quincy Huhn (TAMU), Dave Kropaczek (ORNL)

Group Structure Selection with Random Forests

Vishnu Nair (LANL), Thomas Saller (LANL), Andrew Till (LANL), Nathan Gibson (LANL)

Extension of the PINN Diffusion Model to k-eigenvalue Problems

Mohamed H. Elhareef (Virginia Commonwealth Univ.), Zeyun Wu (Virginia Commonwealth Univ.)