AI / ML Applications for Thermal Hydraulics: II

Development of a Hybrid Simulation Framework for CRUD Source Term Prediction in PWRs using Multi-physics and Data-driven Approaches

8:00–8:20AM MDT

DONGMIN KIM (Seoul National University)

Enabling Real-Time Thermal-Hydraulics Prediction in Virtual Small Modular Reactors through Deep Operator Network

8:20–8:40AM MDT

Minseo Lee (Pohang University of Science and Technology), Seongmin Oh (Department of Quantum System Engineering, Jeonbuk National University), Bumjin Cho, Chaehyeon Song, Minseop Song (Hanyang University), Joongoo Jeon (Pohang University of Science and Technology)

Development of deep-learning system-level digital twins of nuclear power plants using transformers

8:40–9:00AM MDT

Eric Cervi (Argonne National Laboratory), Alexandre Millischer (Argonne National Laboratory), Jaeseok Heo (Argonne National Laboratory), Ling Zou (Argonne National Laboratory), Rui Hu (Argonne National Laboratory)

Transformer-Proper Orthogonal Decomposition Hybrid Framework for Transient Classification and Attribution Analysis in Diagnostic Digital Twin Development

9:00–9:20AM MDT

Jaeseok Heo (Argonne National Laboratory), Eric Cervi (Argonne National Laboratory), Travis Mui (Argonne National Laboratory), Rui Hu (Argonne National Laboratory)