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Trond Kvamsdal
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2020 – today
- 2024
- [j9]Sondre Sørbø
, Sindre Stenen Blakseth
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. Appl. Soft Comput. 153: 111312 (2024) - [j8]Ege Kandemir, Agus Hasan, Trond Kvamsdal, Saleh Abdel-Afou Alaliyat:
Predictive digital twin for wind energy systems: a literature review. Energy Inform. 7(1): 68 (2024) - [j7]Florian Stadtmann
Physics-guided federated learning as an enabler for digital twins. Expert Syst. Appl. 258: 125169 (2024) - [i10]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, Elling Rishoff, Lars Frøyd, Tore Rasmussen:
Digital Twin for Wind Energy: Latest updates from the NorthWind project. CoRR abs/2403.14646 (2024) - 2023
- [j6]Florian Stadtmann
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. IEEE Access 11: 110762-110795 (2023) - [i9]Florian Stadtmann, Adil Rasheed
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. CoRR abs/2304.11405 (2023) - [i8]Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. CoRR abs/2309.10181 (2023) - 2022
- [j5]Sindre Stenen Blakseth, Adil Rasheed
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. Appl. Soft Comput. 128: 109533 (2022) - [j4]Sindre Stenen Blakseth
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. Neural Networks 146: 181-199 (2022) - [i7]Jon Vegard Venås, Trond Kvamsdal:
Isogeometric Analysis of Acoustic Scattering with Perfectly Matched Layers (IGAPML). CoRR abs/2204.09448 (2022) - [i6]Jon Vegard Venås, Trond Kvamsdal, Trond Jenserud:
Isogeometric Analysis of Acoustic Scattering using Infinite Elements. CoRR abs/2204.09505 (2022) - [i5]Jon Vegard Venås, Trond Kvamsdal:
Isogeometric boundary element method for acoustic scattering by a submarine. CoRR abs/2204.09549 (2022) - [i4]Sindre Stenen Blakseth, Adil Rasheed
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. CoRR abs/2206.03451 (2022) - 2021
- [i3]Omer San, Adil Rasheed, Trond Kvamsdal:
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. CoRR abs/2103.14629 (2021) - [i2]Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal, Omer San:
Deep neural network enabled corrective source term approach to hybrid analysis and modeling. CoRR abs/2105.11521 (2021) - 2020
- [j3]Adil Rasheed
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access 8: 21980-22012 (2020) - [i1]Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal:
Physics guided machine learning using simplified theories. CoRR abs/2012.13343 (2020)
2010 – 2019
- 2015
- [j2]Mukesh Kumar
Simple a posteriori error estimators in adaptive isogeometric analysis. Comput. Math. Appl. 70(7): 1555-1582 (2015)
1990 – 1999
- 1999
- [j1]Knut M. Okstad
Object-Oriented Programming in Field Recovery and Error Estimation. Eng. Comput. 15(1): 90-104 (1999) - 1998
- [c1]Carl B. Jenssen, Trond Kvamsdal, Knut M. Okstad
Parallel Methods for Fluid-Structure Interaction. PARA 1998: 263-274
Coauthor Index
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