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RISPhysics and Geometry-Informed Neural Networks for Flow Prediction in Bifurcated Ducts Under Periodic Boundary Conditions
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Understanding and accurately quantifying fluid flow in small, multiscale bifurcated structures subjected to peristaltic boundary conditions is critical in diverse engineering and biomedical applications, ranging ...
Predicting Milk Flow Behavior in Human Lactating Breast: An Integrated Machine Learning and Computational Fluid Dynamics Approach
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This study develops a comprehensive framework that integrates computational fluid dynamics (CFD) and machine learning (ML) to predict milk flow behavior in lactating breasts. Utilizing CFD and other high-fidelity simulation ...