Thermodynamics-informed neural networks for physically realistic mixed reality

DOI10.1016/j.cma.2023.115912OpenAlexW4320169516MaRDI QIDQ2693393

Alberto Badías, Quercus Hernández, Francisco Chinesta, Elias Cueto

Publication date: 20 March 2023

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.13414

zbMATH Keywords

thermodynamicsstructure preservingdeep learningreal-time simulationaugmented reality

Mathematics Subject Classification ID

Computer science (68-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems

Uses Software

• PyTorch

Cites Work

• Hidden physics models: machine learning of nonlinear partial differential equations
• Reduced basis isogeometric methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils
• Structure-preserving neural networks
• Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• Learning slosh dynamics by means of data

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