1 citations · 2 across the 3 of their papers we have counts for
3 papers
Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
Mikhael Tannous, Chady Ghnatios, Eivind Fonn +2
Multiple model reduction techniques have been proposed to tackle linear and non linear problems. Intrusive model order reduction techniques exhibit high accuracy levels, however, t…
Digital Twin for Wind Energy: Latest updates from the NorthWind project
Adil Rasheed, Florian Stadtmann, Eivind Fonn +12
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and…
PoroTwin: A digital twin for a FluidFlower rig
Eirik Keilegavlen, Eivind Fonn, Kjetil Johannessen +6
We present a framework for integrated experiments and simulations of tracer transport in heterogeneous porous media using digital twin technology. The physical asset in our setup i…