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Workshop Series on “Scientific Machine Learning for Nuclear Engineering Applications”

SciML Workshop at 2021 M&C Conference (virtual on Zoom)
Speakers	Organizations	Presentation Titles
Dr. Xu Wu	Assistant Professor, Department of Nuclear Engineering, North Carolina State University	Uncertainty Quantification and Scientific Machine Learning (slides)
Dr. Majdi Radaideh	Research Scientist, Department of Nuclear Science and Engineering, Massachusetts Institute of Technology	NeuroEvolution Optimization with Reinforcement Learning (slides)
Dr. Han Bao	Computational Scientist, Department of Digital Reactor Technology & Development, Idaho National Laboratory	A Machine Learning Approach for Scale Bridging in System-level Thermal-hydraulic Simulation (slides)
Dr. Massimiliano Fratoni	Xenel Distinguished Professor, Department of Nuclear Engineering, University of California, Berkeley	Machine Learning Augmented Cross Section Evaluation (slides)
Dr. Yang Liu	Nuclear Engineer, Nuclear Engineering Division, Argonne National Laboratory	Physics-Informed Machine Learning (slides)

SciML Workshop at 2022 PHYSOR Conference (May 15, 2022, Pittsburgh, PA, USA) (Introduction slides)
Speakers	Organizations	Presentation Titles
Dr. Som Dhulipala	Computational Scientist, Department of Computational Mechanics and Materials, Idaho National Laboratory	Active learning for computational simulations: Application to TRISO fuel failure analysis (slides)
Dr. Ayman Hawari	Distinguished Professor, Department of Nuclear Engineering, North Carolina State University	Development of Neural Thermal Scattering Modules for Data Representation and Applications (slides)
Dr. Linyu Lin	Postdoc, Department of Instrumentation, Controls & Data Science, Idaho National Laboratory	Development of a Nearly Autonomous Management and Control System for Advanced Reactors (slides)
Dr. Vladimir Sobes	Assistant Professor, Department of Nuclear Engineering, University of Tennessee, Knoxville	Applications of AI/ML from Nuclear Data to Reactor Design (slides)
Dr. Justin Watson	Associate Professor, Department of Materials Science and Engineering, University of Florida	Prediction of PWR Pin Powers using Convolutional Neural Networks (slides)

SciML Workshop at 2023 M&C Conference (August 13, 2023 Niagara Falls, Ontario, Canada) (Introduction slides)
Speakers	Organizations	Presentation Titles
Dr. Xu Wu	Assistant Professor, Department of Nuclear Engineering, North Carolina State University	Everything You Need to Know About Neural Networks (slides)
Dr. Brendan Kochunas	Assistant Professor, Department of Nuclear Engineering and Radiological Sciences, University of Michigan – Ann Arbor	Hybrid Machine Learning Techniques in Microreactor Control (slides)
Dr. Stephen Lam	Assistant Professor, Department of Chemical Engineering, University of Massachusetts Lowell	ML-Enhanced Interrogation of Complex Material Structures and Properties (slides)
Dr. Hany Abdel-Khalik	Professor, Department of Nuclear Engineering, Purdue University	Inferring with Intelligence: A Nuclear Perspective (slides)

SciML Workshop at 2024 PHYSOR Conference (April 21, 2024, San Francisco, CA, USA) (Introduction slides)
Speakers	Organizations	Presentation Titles
Dr. William L Gurecky	R&D associate, Nuclear Energy and Fuel Cycle Division, Oak Ridge National Laboratory	Latent Neural Controlled Differential Equations for Time Series Forecasting (slides)
Dr. Jean Ragusa	Professor, Department of Nuclear Engineering, Texas A&M University	Physics-informed, Data-driven Reduced-order Models for Nuclear Applications (slides)
Dr. Mohammad Abdo	Senior staff scientist, Idaho National Laboratory	Sparse Sensing and Sparse Learning in Nuclear Digital Twins: Applications (slides)
Dr. Thomas Gruenwald	Executive Vice President and Co-Founder, Blue Wave AI Labs	Neutron Flux Measurement and Thermal Limits Modeling: Impact on Operational Performance (slides)
Dr. Diego Mandelli	R&D Scientist, Idaho National Laboratory	Causal Inference: A Bridge Between Simulation Models and Observed Phenomena (slides)

SciML Workshop at 2025 M&C Conference (April 27, 2025, Denver, CO, USA) (Introduction slides)
Speakers	Organizations	Presentation Titles
Dr. Xingang Zhao	Assistant Professor, Department of Nuclear Engineering, University of Tennessee Knoxville	Digital Engineering for the Future of Nuclear Power: A CROSS-cutting Approach to Safety and Performance (slides)
Dr. Juliana Duarte	Assistant Professor, Department of Nuclear Engineering and Engineering Physics, University of Wisconsin – Madison	Use of AI to improve models in safety and risk analysis (slides)
Dr. Jason Hou	Associate Professor in the Department of Nuclear Engineering, North Carolina State University	Prototyping of a Machine Learning Enabled Burnup Measurement Capability for High-Temperature Reactors (slides)
Mr. Joseph Farmer	PhD student, Department of Aerospace and Mechanical Engineering, University of Notre Dame	Geometric deep learning for science and engineering (on behalf of Dr. Ryan McClarren) (slides)