Li-Yuan Dou
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View article: Analysis of the generalization ability of neural networks based on the NN-MPS-interpolation model
Analysis of the generalization ability of neural networks based on the NN-MPS-interpolation model Open
This paper combines the Moving Particle Semi-implicit (MPS) method with neural networks to construct a data-driven model, which is then applied to solve the Poisson equation, aiming to reduce computational resource consumption. A feedforwa…
View article: A New Boundary Condition Framework for Particle Method by Using Local Regular-Distributed Background Particles—The Special Case for Poisson Equation
A New Boundary Condition Framework for Particle Method by Using Local Regular-Distributed Background Particles—The Special Case for Poisson Equation Open
To improve the accuracy of solving the Poisson equation and the efficiency of handling complex boundary shapes in the particle method, this paper proposes a Local Regular-distributed Background Particles (LRBP) as an alternative to traditi…
View article: Review of the State-of-Art of MPS Method in Ocean Engineering
Review of the State-of-Art of MPS Method in Ocean Engineering Open
When dealing with the complex deformation of free surface such as wave breaking, traditional mesh-based Computational Fluid Dynamics (CFD) methods often face problems arising alongside grid distortion and re-meshing. Therefore, the meshles…