Idaho National Laboratory

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Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

Post, November 13, 2025 • (Idaho National Laboratory) This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assisted computational framework is presented to identify High-Temperature Reservoir...

Metallic Fuel Handbook, Parts 1 and 2

Post, August 7, 2026 • (Idaho National Laboratory) This is revision 3 of the Metallic Fuels Handbook, which is a summary and critical assessment of data involving elements and alloys in the U-Np-Pu-Am-La-Ce-Pr-Nd-Zr system. This Handbook is intended to provide information needed by fuel modelers, project managers, and researchers interested in understanding not only what...

SEM Image

Post, August 7, 2026 • (Idaho National Laboratory) Materials qualification of reactor structural materials is a critical step in rapid implementation of advanced nuclear reactor technologies, particularly to assess the corrosion performance in these designs. Accelerated qualification of reactor structural materials requires incorporating powerful computational toolsets, such as phase field modelling in the Multiphysics Object-Oriented...