Advancing Nuclear Energy Through Modeling, Simulation, AI, and Machine Learning: II

Digital Engineering Implementation in the Nuclear Energy Industry

1:00–1:20PM MDT

Philip Schoonover (INL), Peter Suyderhoud (INL), Nicholas Crowder (INL)

Automatic Machine Learning Demonstration for High Temperature Gas-Cooled Reactor Reactivity Control and Rod Ejection Simulations

1:20–1:40PM MDT

Patrick A. Myers (Univ. Michigan), Connor C. Craig (Univ. Michigan), Andrew P. Panter (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan)

High-Fidelity Simulations of an Air-Cooled Reactor Cavity Cooling System

1:40–2:00PM MDT

Sinan Okyay (Penn State), Victor Coppo Leite (INL), Elia Merzari (Penn State), Paolo Balestra (INL), Gerhard Strydom (INL)

Review of Recent Activities with MOOSE, an Open-Source Finite Element and Finite Volume Multi-Fidelity Simulation Framework

2:00–2:20PM MDT

Guillaume Giudicelli (INL), Logan Harbour (INL), Casey T. Icenhour (INL), Alexander Lindsay (INL), Lynn B. Munday (INL), Benjamin W. Spencer (INL), Tianchen Hu (ANL), Peter German (INL), Yinbin Miao (ANL), Christopher Green (CSIRO Energy), Rupert Eardley-Brunt (U.K. Atomic Energy Authority), Sarah E. Roberts (INL)

A Proposed Verification and Validation Method for Machine Learning in Nuclear Applications

2:20–2:40PM MDT

Rajinder Khurmi (Ontario Tech Univ.), Glenn Harvel (Ontario Tech Univ.), Karthik Sankaranarayanan (Ontario Tech Univ.)