首页|Data from Karlsruhe Institute of Technology (KIT) Advance Knowledge in Machine L earning (Machine Learning Assisted Discovery of Effective Viscous Material Laws for Shear-thinning Fiber Suspensions)
Data from Karlsruhe Institute of Technology (KIT) Advance Knowledge in Machine L earning (Machine Learning Assisted Discovery of Effective Viscous Material Laws for Shear-thinning Fiber Suspensions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Karlsruhe, Germany, by Ne wsRx journalists, research stated, “In this article, we combine a Fast Fourier T ransform based computational approach and a supervised machine learning strategy to discover models for the anisotropic effective viscosity of shear-thinning fi ber suspensions. Using the Fast Fourier Transform based computational approach, we study the effects of the fiber orientation state and the imposed macroscopic shear rate tensor on the effective viscosity for a broad range of shear rates of engineering process interest.”
KarlsruheGermanyEuropeCyborgsEme rging TechnologiesEngineeringMachine LearningKarlsruhe Institute of Techno logy (KIT)
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