Ansys Meshing | 2D/3D Mesh Generation and Analysis for FEA, CFD
ISpliter: an intelligent and automatic surface mesh generator using neural networks and splitting lines | Advances in Aerodynamics | Full Text
Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning | Nature Methods
A mesh optimization method using machine learning technique and variational mesh adaptation - ScienceDirect
Sensors | Free Full-Text | Deep Neural Network for 3D Shape Classification Based on Mesh Feature
Geometrical defect detection for additive manufacturing with machine learning models - ScienceDirect
NVIDIA Research: NeRF-Tex: Neural Reflectance Field Textures | NVIDIA Technical Blog
Why Ansys Meshing is Important for Structural FEA & CFD Design
A mesh optimization method using machine learning technique and variational mesh adaptation - ScienceDirect
Neighborhood Analysis, KD-Trees, and Octrees for Meshes and Point Clouds in Python | by Ivan Nikolov | Towards Data Science
Shape-morphing into 3D curved surfaces with nacre-like composite architectures | Science Advances
A mesh optimization method using machine learning technique and variational mesh adaptation - ScienceDirect
Sensors | Free Full-Text | Deep Neural Network for 3D Shape Classification Based on Mesh Feature
Point2Skeleton: Learning Skeletal Representations from Point Clouds
3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semisupervised deep learning | PNAS
Intro to 3D Deep Learning. 3D data representation, vision tasks… | by Margaret Maynard-Reid | Towards Data Science
A mesh optimization method using machine learning technique and variational mesh adaptation - ScienceDirect
Deep learning in cortical surface-based neuroimage analysis: a systematic review - ScienceDirect
Predicting stress, strain and deformation fields in materials and structures with graph neural networks | Scientific Reports
Deep Learning on 3D Meshes | By Paul Aurel Diederichs & Anya Fries as part of the Stanford CS224W course project | Stanford CS224W GraphML Tutorials
Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model | Scientific Reports
Y+ and Grid Types - MR CFD
Using CFD Multiphase Modeling to Predict Bioreactor Performance | Pharmaceutical Engineering
Mesh generation - Wikipedia
