Ali Kashefi

PointNetCFD. Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)

ChatGPT_Programming_Numerical_Methods. Coding numerical methods using ChatGPT: successes, failures, and challenges

PhysicsInformedPointNetPorousMedia. Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet

PointNet_KAN_Graphic. Using Kolmogorov Arnold Networks (KANs) instead of MLPs in PointNet for Classification and Segmentation of 3D Point Sets

PhysicsInformedPointNet. Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular geometries

KAN_PointNet_CFD. Kolmogorov-Arnold PointNet for prediction of fluid flow fields on irregular geometries (supervised learning)

PhysicsInformedPointNetElasticity. Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets of irregular geometries

Physics_Informed_KAN_PointNet. Implementation of physics-informed Kolmogorov-Arnold PointNet (PI-KAN-PointNet) for weakly-supervised learning of incompressible flows and thermal fields on irregular geometries

FNOMultiSizedImages. A novel Fourier neural operator framework for classification of multi-sized images

Diffusion_Flow_Matching_PointNet_CFD. Python

CNN_DCNN_CFD. Predicting steady-state flow around bluff bodies using CNNs-DCNNs

PointCloudDeepLearningPorousMedia. Implementation of PointNet for supervised learning of permeability of porous media using point clouds

Vision_Mamba_3D_Porous_Media. Vision Mamba for permeability prediction of 3D porous media and comparison with CNNs and Vision Transformers (ViTs)

MisleadingGalleryOfFluidMotionByAI. A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence

IncompressibleFlow2D. Simulation of 2D Unsteady and Laminar Incompressible Flows and Thermal Fields by A Finite Element Method

IntroPython. Jupyter Notebook

IntroCPlusPlus. C++