Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach

7 June 2022

Papers citing "Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach"

5 / 5 papers shown

Title
Solving PDEs with Unmeasurable Source Terms Using Coupled Physics-Informed Neural Network with Recurrent Prediction for Soft Sensors Aina Wang Pan Qin Ximing Sun PINN AI4CE 13 2 0 20 Jan 2023
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality Elias Mohammed Elfarri Adil Rasheed Omer San 14 16 0 14 Dec 2022
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process Haakon Robinson E. Lundby Adil Rasheed J. Gravdahl 15 5 0 22 Sep 2022
Sparse deep neural networks for modeling aluminum electrolysis dynamics E. Lundby Adil Rasheed I. Halvorsen J. Gravdahl 8 14 0 13 Sep 2022
Physics guided machine learning using simplified theories Suraj Pawar Omer San Burak Aksoylu Adil Rasheed T. Kvamsdal PINN AI4CE 92 87 0 18 Dec 2020