Structure-preserving neural networks
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Publication:2127014
DOI10.1016/j.jcp.2020.109950OpenAlexW3015451250MaRDI QIDQ2127014
Publication date: 19 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2004.04653
Related Items (12)
Accelerated offline setup of homogenized microscopic model for multi‐scale analyses using neural network with knowledge transfer ⋮ Exact conservation laws for neural network integrators of dynamical systems ⋮ The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems ⋮ Automated discovery of generalized standard material models with EUCLID ⋮ Structure-preserving recurrent neural networks for a class of Birkhoffian systems ⋮ Convolution hierarchical deep-learning neural networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond ⋮ Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems ⋮ A thermodynamics-informed active learning approach to perception and reasoning about fluids ⋮ Optimal Dirichlet boundary control by Fourier neural operators applied to nonlinear optics ⋮ Thermodynamics-informed neural networks for physically realistic mixed reality ⋮ Surrogate parametric metamodel based on optimal transport ⋮ Material Modeling via Thermodynamics-Based Artificial Neural Networks
Uses Software
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