Litcius/Paper detail

Deep learning methods for predicting fluid forces in dense particle suspensions

Neil Raj Ashwin, Ze Cao, Nikhil Muralidhar, Danesh K. Tafti, Anuj Karpatne

2022Powder Technology28 citationsDOIOpen Access PDF

Topics & Concepts

Reynolds numberAspect ratio (aeronautics)DragParticle (ecology)Artificial intelligencePerceptronConvolutional neural networkFlow (mathematics)Suspension (topology)Fraction (chemistry)MechanicsOrientation (vector space)EllipsoidComputer scienceConvolution (computer science)Artificial neural networkMathematicsAlgorithmGeometryPhysicsChromatographyGeologyChemistryPure mathematicsOceanographyAstronomyTurbulenceOptoelectronicsHomotopyFluid Dynamics and Vibration AnalysisLattice Boltzmann Simulation StudiesGranular flow and fluidized beds