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Michael D. Todd
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SCHOLARLY PAPERS
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Scholarly Papers (1)
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1.
A Structure-Preserving Machine Learning Framework for Accurate Prediction of Structural Dynamics for Systems with Isolated Nonlinearities
Number of pages: 27
Posted: 15 Sep 2023
David A. Najera-Flores
,
D. Dane Quinn
,
Anthony P. Garland
,
Vlachas Konstantinos
,
Eleni Chatzi
and Michael D. Todd
affiliation not provided to SSRN
, University of Akron, Sandia National Laboratories - Materials, Physical, and Chemical Sciences Center, ETH Zürich, ETH Zürich and
affiliation not provided to SSRN
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Abstract:
Structural Dynamics, nonlinear systems, Machine learning
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