Deep neural network enabled corrective source term approach to hybrid
analysis and modeling

Deep neural network enabled corrective source term approach to hybrid analysis and modeling

24 May 2021

Sindre Stenen Blakseth

Papers citing "Deep neural network enabled corrective source term approach to hybrid analysis and modeling"

10 / 10 papers shown

Title
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems Subhayan De P. Brewick 35 0 0 25 Apr 2023
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality Elias Mohammed Elfarri Adil Rasheed Omer San 29 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 28 5 0 22 Sep 2022
Sparse deep neural networks for modeling aluminum electrolysis dynamics E. Lundby Adil Rasheed I. Halvorsen J. Gravdahl 29 14 0 13 Sep 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 28 31 0 07 Jun 2022
Physics guided neural networks for modelling of non-linear dynamics Haakon Robinson Suraj Pawar Adil Rasheed Omer San PINN AI4TS AI4CE 32 47 0 13 May 2022
Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy Nicholus R. Clinkinbeard Nicole N. Hashemi PINN AI4CE 41 0 0 14 Apr 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets Subhayan De Matthew J. Reynolds M. Hassanaly Ryan N. King Alireza Doostan AI4CE 41 37 0 03 Apr 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
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale Michael G. Kapteyn Jacob V. R. Pretorius Karen E. Willcox 36 215 0 10 Dec 2020