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Machine Learning for Practical Real-Time Test Campaign Design

Year: 2025

Type: conference-paper

DOI: 10.2514/6.2025-3729

Authors: Zachary A. McDaniel, Adelbert A. Francis, Francis A. Centlivre, Gregory A. Blaisdell, Jonathan Poggie, Joseph S. Jewell, Timothy Walsh, Kyle Williams, Steven J. Beresh

Institutions: Purdue University West Lafayette, Sandia National Laboratories California, Sandia National Laboratories

Language: English

Topic: Computational Fluid Dynamics and Aerodynamics

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4412485411

FWCI:

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