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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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1 result for “CFD-DEM”
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluidscs.LG

PhyDNN uses physics knowledge to improve drag force prediction models.

problem Complex physical processes in fluid dynamics are hard to model accurately.
method Physics-guided structural priors and aggregate supervision for deep learning.
result PhyDNN achieves a significant 8.46% improvement in drag force prediction.
drag forcedeep learningphysics-guidedCFD-DEMaggregate supervision
2019-11-06abs ↗pdf ↗