DOE OSTI · 3683807
Efficient data-driven surrogate modeling of high-speed aerodynamic field data using dimensionality reduction and neural networks
Abstract
Presentation for USNCCM on work on non-intrusive reduced order models for aerothermal modeling.
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Blonigan, Patrick Joseph [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0009000358081077), Murray, Jonathan Coke [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0009000056083595), Diaz, Alejandro Nicolas [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000276053382), Needels, Jacob Troy [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000218250097). 2025-07-01. Efficient data-driven surrogate modeling of high-speed aerodynamic field data using dimensionality reduction and neural networks. https://doi.org/10.2172/3683807
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