Papers

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Physics Constrained Reinforcement Learning for Improved Control of Transient Maneuvers in Nuclear Power Plants

1:00–1:20PM PDT

Aidan Rigby (Univ. Wisconsin, Madison), Michael J. Wagner (Univ. Wisconsin, Madison), Daniel Mikkelson (INL), Ben Lindley (Univ. Wisconsin, Madison)

Paper

Statistical and Neural Network for Real Sensor-Data-Driven Anomaly Detection in Nuclear Applications

1:20–1:40PM PDT

Imtiaz Nasim (INL), Vivek Agarwal (INL), Joshua E. Daw (INL), Mingyue Ji (Univ. Utah), Sneha Kasera Kumar (Univ. Utah)

Paper

Presentation Slides (Visible to Attendees) — Presentation ppt file Imtiaz

Physics-Based Machine Learning Framework for Inferring Remaining Useful Life of Feedwater Heaters

1:40–2:00PM PDT

Yeni Li (ANL), Akshay J. Dave (ANL), Richard B. Vilim (ANL)

Paper

Using Generative AI to Implement the Discrepancy Checker for a Nearly Autonomous Management and Control System for Advanced Reactors

2:00–2:20PM PDT

Paridhi Athe (NCSU), Linyu Lin (INL), Nam Dinh (NCSU)

Paper

Digital-Twin-Enabling Technologies for Online Condition Monitoring of Nuclear Power Plant Components

2:20–2:40PM PDT

Edward Chen (INL), Vaibhav Yadav (INL), Vivek Agarwal (INL)

Paper