8 papers
Efficient Neural Surrogates for Linear Radiation Transport on the Lattice and Hohlraum benchmarks
Carmelo Gonzales, Steffen Schotthöfer, Cory D. Hauck
Linear radiation transport equations (RTEs) form the simulation foundations underpinning design and analysis tasks in nuclear engineering, inertial confinement fusion, medical imag…
An Automated and Reproducible Workflow for Crack Identification and Damage Assessment of Fusion Materials
Rinkle Juneja, Viktor Reshniak, Richard K. Archibald +4
Post-exposure microscopy is central to qualification of fusion materials. However, manual analysis does not scale to the volume, heterogeneity, and multiresolution character of mod…
High-order robust basis-update & Galerkin integrators for dynamical low-rank approximation
Cory D. Hauck, Jonas Kusch, Steffen Schotthöfer
Dynamical low-rank approximation has become a widely used numerical method in diverse disciplines. Its main idea is to represent the matrix or tensor-valued solution to a time-depe…
MPEX AI Digital Twins Milestone Report
Gary Staebler, Rhea Barnett, Mark Cianciosa +13
This is the six month progress report to Fusion Energy Science (FES) and the American Science Cloud (AmSC) on the MPEX AI Digtial Twins project that was started in October 2025. Th…
MPEX AI Digital Twins
Gary Staebler, Rhea Barnett, Mark Cianciosa +10
Our vision for the MPEX AI Digital Twins project is to supply experimental and physics model simulation data to train Artificial Intelligence (AI) models for data processing, analy…
Data-Driven Filtering of the Spherical Harmonics Method
Benjamin Plumridge, Cory Hauck, Steffen Schotthofer
We investigate a data-driven approach for tuning the filtered spherical harmonics method (\fpn) when solving the radiation transport equation (RTE). The \fpn method extends the cla…
Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research
Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald +47
The AI for Nuclear Energy workshop at Oak Ridge National Laboratory evaluated the potential of Large Language Models (LLMs) to accelerate fusion and fission research. Fourteen inte…
Reference solutions for linear radiation transport: the Hohlraum and Lattice benchmarks
Steffen Schotthöfer, Cory Hauck
Two benchmark problems for linear radiation transport and derived from the literature are presented in detail and several quantities of interest are defined. High-resolution simula…