activity
20212025
most citedDeep neural network enabled corrective source term approach to hybrid analysis and modeling

32 citations · 34 across the 5 of their papers we have counts for

collaborators

5 papers

physics.app-ph2025★ 1 cited

Thermal performance estimation for cryogenic storage tanks: Application to liquid hydrogen

Ailo Aasen, Sindre Stenen Blakseth, André Massing +2

The design of cryogenic liquid storage solutions requires accurate methods for estimating heat ingress, from the material level to the tank level. For insulation materials, thermal…

physics.ins-det2024

Local Area Cooling versus Broad Area Cooling for Boil-Off Reduction in Large-Scale Liquid Hydrogen Storage Tanks

Sindre Stenen Blakseth, Ailo Aasen, André Massing +1

Future use of liquid hydrogen (LH) as an effective energy carrier will require elimination or minimization of hydrogen boil-off that is not utilized by demands in the value cha…

math.NA2023

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…

cs.LG2022★ 1 cited

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 +1

Upcoming technologies like digital twins, autonomous, and artificial intelligent systems involving safety-critical applications require models which are accurate, interpretable, co…

cs.NE2021★ 32 cited

Deep neural network enabled corrective source term approach to hybrid analysis and modeling

Sindre Stenen Blakseth, Adil Rasheed, Trond Kvamsdal +1

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 t…