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Accelerating Large Multiscale Composite Simulations with a GNN/LSTM Microscale Surrogate
Document ID
20240016041
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Joshua Stuckner (Glenn Research Center Cleveland, United States)
Trenton M Ricks (Glenn Research Center Cleveland, United States)
Brandon Hearley (Glenn Research Center Cleveland, United States)
Steven M Arnold (Glenn Research Center Cleveland, United States)
Date Acquired
December 13, 2024
Subject Category
Chemistry and Materials (General)
Mathematical and Computer Sciences (General)
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: Orlando, FL
Country: US
Start Date: January 6, 2025
End Date: January 10, 2025
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 109492.02.03.05.02
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
Multiscale modeling
composites
machine learning
surrogate modeling
LSTM
GNN
deep learning

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