Blar i Institutt for fysikk på forfatter "Rasheed, Adil"
-
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)Upcoming technologies like digital twins, autonomous, and artificial intelligent systems involving safety–critical applications require accurate, interpretable, computationally efficient, and generalizable models. ... -
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)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 is to combine physics-based modeling (PBM) and ... -
GAN Based Super-Resolution of Near-Surface 3D Atmospheric Wind Flow with Physics Informed Loss Function
Wold, Jacob Wulff (Master thesis, 2023)I møte med økende behov for grønn energi er det forventet med stor økning i vindkraftutbygging de neste årene. Billig høyoppløslig vinddata kan hjelpe vindutviklere å optimere produksjon og redusere risiko ved vindutbygging. For ... -
Introducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical Simulations
Blakseth, Sindre Stenen (Master thesis, 2021)Hybrid analyse og modellering (HAM) er et fremvoksende modelleringsparadigme hvor fysikkbasert modellering (FBM) og datadreven modellering (DDM) kombineres for å utvikle modeller som er generaliserbare, pålitelige, nøyaktige, ...