LaSDI: parametric latent space dynamics identification
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Publication:2674132
DOI10.1016/j.cma.2022.115436OpenAlexW4293051395WikidataQ115063416 ScholiaQ115063416MaRDI QIDQ2674132
Xiaolong He, William D. Fries, Youngsoo Choi
Publication date: 22 September 2022
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2203.02076
nonlinear dynamical systemreduced order modelsnonlinear manifold solution representationlatent space learningprinciple orthogonal decomposition
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Numerical problems in dynamical systems (65P99)
Related Items (6)
Adaptive learning of effective dynamics for online modeling of complex systems ⋮ Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions ⋮ gLaSDI: parametric physics-informed greedy latent space dynamics identification ⋮ GPLaSDI: Gaussian process-based interpretable latent space dynamics identification through deep autoencoder ⋮ LaSDI ⋮ Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition
Uses Software
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