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During my PhD, I was using Incompact3d (http://www.incompact3d.com/) to perform DNS (Direct Numerical Simulation) of the turbulent channel flow with (conjugate) heat transfer.
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The present project contains the data and source for the publication of C. Flageul and I. Tiselj called 'Impact of unresolved smaller scales on the scalar dissipation rate in direct numerical simulations of wall bounded flows'.
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The present project contains the data and source for the publication of C. Flageul and I. Tiselj called 'Convergence rate of individual and global quantities in Direct Numerical Simulations' and published as a letter in the journal Physics of Fluids.
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This project contains some LES results obtained during the collaboration on fluidsolid thermal coupling between EDF R&D and IJS.
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Python package for communicating with the ducklinghttp server, additionally it handles Slovene by using translation services.
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This is an example for running the Keras (Tensorflow) deep learning job.
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This software allows one to perform nonnegative matrix factorization (NMT) and trifactorization (NMTF) using gradient descent methods.
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