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

SS Blakseth, A Rasheed, T Kvamsdal, O San - Applied Soft Computing, 2022 - Elsevier
Upcoming technologies like digital twins, autonomous, and artificial intelligent systems
involving safety–critical applications require accurate, interpretable, computationally …

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

SS Blakseth, A Rasheed, T Kvamsdal, O San - Neural Networks, 2022 - Elsevier
In this work, we introduce, justify and demonstrate the Corrective Source Term Approach
(CoSTA)—a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM …

[HTML][HTML] Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions

S Sørbø, SS Blakseth, A Rasheed, T Kvamsdal… - Applied Soft …, 2024 - Elsevier
With the recent wave of digitalization, specifically in the context of safety–critical
applications, there has been a growing need for computationally efficient, accurate …

Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions

S Sørbø, SS Blakseth, A Rasheed, T Kvamsdal… - arXiv preprint arXiv …, 2023 - arxiv.org
With the recent wave of digitalization, specifically in the context of safety-critical applications,
there has been a growing need for computationally efficient, accurate, generalizable, and …

Corrective Source Term Approach for Improving Physics Based Models

S Sørbø - 2022 - ntnuopen.ntnu.no
Reliable predictive modelling techniques are paramount to innumerable industry objectives.
With the ever emerging big data revolution, traditional methods based on physical …

Improving Erroneous Physics-Based Models Using the Corrective Source Term Approach

S Sørbø, SS Blakseth, A Rasheed, T Kvamsdal… - Available at SSRN … - papers.ssrn.com
With the recent wave of digitalization, specifically in the context of safety-critical applications,
there has been a growing need for computationally efficient, accurate, generalizable, and …