Parallel Methods for Fluid-Structure Interaction. - Carl B. Jenssen; Trond Kvamsdal; Knut M. Okstad; Jørn Amundsen (PARA, 1998)

Object-Oriented Programming in Field Recovery and Error Estimation. - Knut M. Okstad; Trond Kvamsdal (Eng. Comput., 1999)

Simple a posteriori error estimators in adaptive isogeometric analysis. - Mukesh Kumar 001; Trond Kvamsdal; Kjetil André Johannessen (Comput. Math. Appl., 2015)

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. - Adil Rasheed; Omer San; Trond Kvamsdal (IEEE Access, 2020)

Physics guided machine learning using simplified theories. - Suraj Pawar; Omer San; Burak Aksoylu; Adil Rasheed; Trond Kvamsdal (CoRR, 2020)

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. - Omer San; Adil Rasheed; Trond Kvamsdal (CoRR, 2021)

Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. - Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (Appl. Soft Comput., 2022)

Isogeometric Analysis of Acoustic Scattering with Perfectly Matched Layers (IGAPML). - Jon Vegard Venås; Trond Kvamsdal (CoRR, 2022)

Isogeometric Analysis of Acoustic Scattering using Infinite Elements. - Jon Vegard Venås; Trond Kvamsdal; Trond Jenserud (CoRR, 2022)

Isogeometric boundary element method for acoustic scattering by a submarine. - Jon Vegard Venås; Trond Kvamsdal (CoRR, 2022)

Deep neural network enabled corrective source term approach to hybrid analysis and modeling. - Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (Neural Networks, 2022)

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. - Florian Stadtmann; Adil Rasheed; Trond Kvamsdal; Kjetil André Johannessen; Omer San; Konstanze Kölle; John Olav Giæver Tande; Idar Barstad; Alexis Benhamou; Thomas Brathaug; Tore Christiansen; Anouk-Letizia Firle; et al. (IEEE Access, 2023)

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. - Florian Stadtmann; Adil Rasheed; Trond Kvamsdal; Kjetil André Johannessen; Omer San; Konstanze Kölle; John Olav Giæver Tande; Idar Barstad; Alexis Benhamou; Thomas Brathaug; Tore Christiansen; Anouk-Letizia Firle; et al. (CoRR, 2023)

Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. - Sondre Sørbø; Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (CoRR, 2023)

Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. - Sondre Sørbø; Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (Appl. Soft Comput., 2024)

Digital Twin for Wind Energy: Latest updates from the NorthWind project. - Adil Rasheed; Florian Stadtmann; Eivind Fonn; Mandar V. Tabib; Vasileios Tsiolakis; Balram Panjwani; Kjetil André Johannessen; Trond Kvamsdal; Omer San; John Olav Giæver Tande; Idar Barstad; Tore Christiansen; et al. (CoRR, 2024)

Physics-guided federated learning as an enabler for digital twins. - Florian Stadtmann; Erik Rugaard Furevik; Adil Rasheed; Trond Kvamsdal (Expert Syst. Appl., 2024)

Predictive digital twin for wind energy systems: a literature review. - Ege Kandemir; Agus Hasan; Trond Kvamsdal; Saleh Abdel-Afou Alaliyat (Energy Inform., 2024)

Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics. - Mikhael Tannous; Chady Ghnatios; Eivind Fonn; Trond Kvamsdal; Francisco Chinesta (CoRR, 2025)

Machine learning (ML) based reduced order modelling (ROM) for linear and non-linear solid and structural mechanics. - Mikhael Tannous; Chady Ghnatios; Eivind Fonn; Trond Kvamsdal; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2025)