Physics guided neural networks for modelling of non-linear dynamics

13 May 2022

Papers citing "Physics guided neural networks for modelling of non-linear dynamics"

5 / 5 papers shown

Title
State-space models are accurate and efficient neural operators for dynamical systems Zheyuan Hu Nazanin Ahmadi Daryakenari Qianli Shen Kenji Kawaguchi George Karniadakis Mamba AI4CE 75 13 0 28 Jan 2025
Machine Learning for Smart and Energy-Efficient Buildings Hari Prasanna Das Yu-Wen Lin Utkarsha Agwan Lucas Spangher Alex Devonport Yu Yang Ján Drgoňa A. Chong S. Schiavon C. Spanos HAI AI4CE 34 20 0 27 Nov 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 41 11 0 07 Jul 2022
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach Sindre Stenen Blakseth Adil Rasheed T. Kvamsdal Omer San AI4CE 26 31 0 07 Jun 2022
Physics guided machine learning using simplified theories Suraj Pawar Omer San Burak Aksoylu Adil Rasheed T. Kvamsdal PINN AI4CE 105 106 0 18 Dec 2020