294 citations
- SINTEFNO50 papers
- Norwegian University of Science and TechnologyNO30 papers
- University of OsloNO8 papers
- Oklahoma State UniversityUS6 papers
- Centre for Arctic Gas Hydrate, Environment and ClimateNO2 papers
- NTNU SamfunnsforskningNO2 papers
- Oklahoma State University Oklahoma CityUS2 papers
- Simula Research LaboratoryNO2 papers
- Technische Universität BerlinDE2 papers
- UiT The Arctic University of NorwayNO2 papers
- University of BergenNO2 papers
- University of California, BerkeleyUS2 papers
7 papers · 1 filter
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
Romit Maulik, Omer San, Adil Rasheed +1
In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for s…
Void Filling of Digital Elevation Models with Deep Generative Models
Konstantinos Gavriil, Georg Muntingh, Oliver J. D. Barrowclough
In recent years, advances in machine learning algorithms, cheap computational resources, and the availability of big data have spurred the deep learning revolution in various appli…
Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments'
Martin Shepperd
I welcome the contribution from Falessi et al. [1] hereafter referred to as F++ , and the ensuing debate. Experimentation is an important tool within empirical software engineering…
Sub-grid modelling for two-dimensional turbulence using neural networks
Romit Maulik, Omer San, Adil Rasheed +1
In this investigation, a data-driven turbulence closure framework is introduced and deployed for the sub-grid modelling of Kraichnan turbulence. The novelty of the proposed method…
Fast divergence-conforming reduced basis methods for steady Navier-Stokes flow
Eivind Fonn, Harald van Brummelen, Trond Kvamsdal +1
Reduced-basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time performance with reasonable ac…
Beam tests of silicon pixel 3D-sensors developed at SINTEF
Ole Dorholt, Thor-Erik Hansen, Andreas Heggelund +9
For the purpose of withstanding very high radiation doses, silicon pixel sensors with a 3D electrode geometry are being developed. Detectors of this kind are highly interesting for…