Meetings
NEAMS Annual Review Meeting – 2026
Opening remarks, NEAMS Overview, and Research Plan
David Andersson, LANL, Tanju Sofu, ANL, and David Henderson, DOE
Panel Discussions by Reactor Type
FR – Fast Reactors
Panel: Fast Reactor Research Capabilities and Needs
Members: Emily Shemon, ANL, Changho Lee, ANL, Dillon Shaver, ANL, Gary Hu, ANL, Stephen Novascone, INL, Bo Feng, ANL. Moderator: Tanju Sofu, ANL
GCR – Gas-cooled Reactors
Panel: High Temperature Gas- Cooled Reactors and Fluoride High Temperature Reactor Research Capabilities and Needs
Members: David Reger, INL, Jacob Hirschhorn, INL, Josh Hanophy, INL, Laurent Capolungo, LANL, Robby Kile, INL. Moderator: Ling Zou, ANL
LWR – Light-water Reactors
Panel: Light water Reactor Research Capabilities and Needs
Members: Nathan Capps, ORNL, Bob Salko, ORNL, Pierre-Clement Simon, INL, Laurent Capolungo, LANL, Benjamin Spencer, INL, Matthew Jessee, ORNL. Moderator: David Andersson, LANL
MR – Microreactors
Panel: Microreactor Research Capabilities and Needs
Members: Yinbin Miao, ANL, Tara Pandya, ORNL, Joshua Hansel, INL, Lynn Munday, INL, Abdalla Abou-Jaoude, INL. Moderator: Jan Vermaak, INL
MSR – Molten Salt Reactors
Panel: Molten Salt Reactor Research Capabilities and Needs
Members: Ting Fei, ANL, Yaqi Wang, INL, Travis Mui, ANL, Tony Birri, ORNL, Daniel Schwen, INL, Patricia Paviet, PNNL. Moderator: Mauricio Tano, INL
Artificial Intelligence and Machine Learning Applications in NEAMS
Multiphysics Applications
MOOSEnger Development - a Domain Specific AI Agent for MOOSE Ecosystem
Mengnan Li, INL, Zachary Prince, INL, Alexander Lindsay, INL, Cody Permann, INL
MOOSE Stochastic Tools Module: Stochastic Sampling, Surrogate Modeling, and Optimization for MOOSE-Based Modeling and Simulation
Zachary Prince, INL
Reactor Physics
Application of Machine Learning in Modeling Multigroup Cross Sections as Neural Networks
Olin Calvin, INL
Fuel Performance
AI/ML Applied to Fuel Performance Modeling
Som Dhulipala, INL, Chaitanya Bhave, INL, Daniel Schwen, INL, Conor Galvin, INL, Anton Schneider, INL, Michael Cooper, INL, Stephen Novascone, INL
Machine Learning Enabled Multiscale Uncertainty Propagation for Fission Gas Swelling in UN
Anton Schneider, LANL, Pieterjan Robbe, Sandia, Conor Galvin, LANL, Christopher Matthews, LANL, David Andersson, LANL, Antoine Claisse, Westinghouse, and Michael Cooper, LANL
Thermal Fluids
Transformer-Based Deep-Learning for Turbulence Modeling and Reactor System Simulations
Eric Cervi, ANL, Ling Zou, ANL, Rui Hu, ANL
Advances in the Multi-scale Bridging within NEAMS for TH Applications: Leveraging High-fidelity Data
Dillion Shaver, ANL
Structural Materials & Chemistry
Molten Salt Thermo-physical Property Prediction Using Machine Learning Interatomic Potentials
Chao Jiang, INL, Gaoxue Wang, LANL, Daniel Schwen, INL, Benjamin Spencer, INL, David Andersson, LANL
Use of ML in Surrogate Models to Efficiently Bridge Between Mesoscale and Continuum Scale
Laurent Capolungo, LANL
Multiphysics Framework and Workflows
Usability-Driven Progress in Multiphysics Tools
Alexander Lindsay, INL, Robert Lefebvre, ORNL, Emily Shemon, ANL, and Cody Permann, INL
GPU Acceleration in MOOSE, Chapter 2 - Parallel Development of Parallel Work
Alexander Lindsay, INL
Implementation of a Constructive Solid Geometry Framework in MOOSE for Improved Monte Carlo Integration
Kalin Kiesling, ANL, Shikhar Kumar, ANL, Emily Shemon, ANL, Guillaume Giudicelli, INL, Logan Harbour, INL, Tarek Ghaddar, ORNL, Tara Pandya, ORNL, Robert Lefebvre, ORNL, Matthew Jessee, ORNL
User Oriented Advancements in MOOSE-Workbench
Robert Lefebvre, ORNL, Brandon Langley, ORNL, MOOSE Team, INL
NEAMS Annual Review Meetings by Reactor Type – 2025
High Temperature Gas-cooled and Fluoride Salt-Cooled Reactors