1 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions
Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed +2
With the recent wave of digitalization, specifically in the context of safety-critical applications, there has been a growing need for computationally efficient, accurate, generali…
Accelerated evolution of Burgers turbulence with coarse projective integration and deep learning
Mrigank Dhingra, Omer San, Anne E. Staples
Simulating turbulence to stationarity is a major bottleneck in many engineering problems of practical importance. The problem can be cast as a multiscale problem involving energy r…
Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems
Shady E. Ahmed, Omer San
Model reduction by projection-based approaches is often associated with losing some of the important features that contribute towards the dynamics of the retained scales. As a resu…
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
Omer San, Suraj Pawar, Adil Rasheed
A central challenge in the computational modeling and simulation of a multitude of science applications is to achieve robust and accurate closures for their coarse-grained represen…
Decentralized digital twins of complex dynamical systems
Omer San, Suraj Pawar, Adil Rasheed
In this paper, we introduce a decentralized digital twin (DDT) framework for dynamical systems and discuss the prospects of the DDT modeling paradigm in computational science and e…