Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
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Updated
Jan 11, 2021 - C++
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
OpenFOAM solver to calculate the resolved Reynolds stress, turbulent kinetic energy and dissipation rate at runtime in LES
An interfacing library to deploy machine-learning models in CFD codes easily
Some of the fastest decoding range-based Asymetric Numeral Systems (rANS) codecs for x64
rANS Compressor written in C++
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