Unstructured surface mesh smoothing method based on deep reinforcement learning

Optimization-based smoothing method

The diagram of the free node and its corresponding ring. a The ring of

The architecture of the proposed MGNet.

Unstructured surface mesh smoothing method based on deep reinforcement learning

GMD - Configuration and evaluation of a global unstructured mesh atmospheric model (GRIST-A20.9) based on the variable-resolution approach

Detail construction of the proposed HiDeNN framework. The input layer

GitHub - meshpro/optimesh: :spider_web: Mesh optimization, mesh smoothing.

Unstructured surface mesh smoothing method based on deep reinforcement learning

ISpliter: an intelligent and automatic surface mesh generator using neural networks and splitting lines, Advances in Aerodynamics

A self-learning finite element extraction system based on reinforcement learning, AI EDAM

Compact DNN representation of the quadratic shape function at point

Xiaogang Deng's research works Academy of Military Medical Sciences, Tianjin (AMMS) and other places

Comparison between the conformal mesh and the HiDeNN discretization for

23845 PDFs Review articles in MESH GENERATION

Unstructured surface mesh smoothing method based on deep reinforcement learning