A Review of Hydrodynamic Mechanisms, CFD Modeling, and Coastal Engineering Implications Seabed scour caused by propellers is ...
Abstract: Zeroing neural networks (ZNNs) play a crucial role in efficiently solving time-varying problems. Recently, ZNNs are integrated with many advanced control theories with a certain convergence ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
This repository is an home-made project to implement finite element method applied to heat equation. The pdf file summarize the mathematical aspect behind technical implementation. For now, only ...
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