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Fluid-solid Coupling by Neural Network

Complex physical process can be learned and replaced by machine learning model. Use the IB-PINN machine learning model to conduct fluid–solid coupling is shown to be fast, reliable and accurate.

Wall Shear Stress Analysis for Blood Vessel's Inner Surface

To analyze the WSS in complex fluids with cell suspensions, numerical simulations of blood flows in simple straight channels were conducted, where the fluid-solid interactions were simulated by immersed boundary-lattice Boltzmann method. The spatiotemporal dynamics of WSS were analyzed using dynamic mode decomposition (DMD), which is a technique that can extract the low-rank spatiotemporal features from complex fluids.