DOE OSTI · 1923667
Neural Thermal Scattering (NeTS) Modules for Graphite & Beryllium [Slides]
Abstract
This presentation discusses the motivations behind the project, which include facilitating compact formulation for TSL data, extending AI knowledge, and providing advanced reactor simulation framework. It also discusses how the project accounts for beryllium and graphite complexity, including atomistic, dynamical, and neural. Additionally, new material-informed neural thermal scattering (NeTS) Modules are examined. The implications, conclusions, and plan future work for the project are also discussed.
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Crozier, Jonathan P.W., Hawari, A. I.. 2022-11-01. Neural Thermal Scattering (NeTS) Modules for Graphite & Beryllium [Slides]. https://doi.org/10.2172/1923667
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