Work

Application of SciML-Adapted PCMM to Deep Neural Network Surrogate Model Used for Aerodynamic Coefficient Prediction

Year: 2025

Type: article

Source: Journal of Verification Validation and Uncertainty Quantification

DOI: 10.1115/1.4071802

Authors: Jared R. Kirsch, Nima Fathi, William J. Rider

Institutions: Sandia National Laboratories California, Sandia National Laboratories, Texas A&M University at Galveston, Texas A&M University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7156722663

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Cites: 12

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