DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets Conference Paper November, 2023
High-Throughput Prediction of Molten Salt Mixture Density with Supervised Machine Learning Conference Paper November, 2023
OVERVIEW OF SPENT NUCLEAR FUEL INVENTORY RESULTS FOR THE ARIANE GU3 SAMPLE Conference Paper October, 2023
DECAY HEAT OF IRRADIATED NUCLEAR FUELS – A STATUS REPORT FROM THE NEA WPNCS... Conference Paper October, 2023
OVERVIEW AND CURRENT PROGRESS OF THE DOE/NNSA NUCLEAR CRITICALITY SAFETY PROGRAM TRAINING AND EDUCATION PROGRAM Conference Paper October, 2023
INTEGRATED PLASMA AND ENGINEERING DESIGN AND ASSESSMENT FOR TOKAMAK REACTOR COMPONENTS... Conference Paper October, 2023
Numerical Study of Liquid Piston Compression Using Large-Eddy Simulation and Volume-of-Fluid Approach Conference Paper October, 2023
