The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …

Intelligent Mesh Generation (IMG) represents a novel and promising field of research,
utilizing machine learning techniques to generate meshes. Despite its relative infancy, IMG …

Mesh generation accounts for a large number of workloads in the numerical analysis. In this
paper, we introduce a novel differential method MGNet for structured mesh generation. The …

As more powerful computing hardware enables higher resolution simulations, a fast and
flexible mesh optimization method is becoming increasingly indispensable for …

This work presents a novel approach capable of predicting an appropriate spacing function
that can be used to generate a near-optimal mesh suitable for simulation. The main …

A machine learning meshing scheme for the generation of 2-D simplicial meshes is
proposed based on the predictions of neural networks. The data extracted from meshed …

Mesh generation and adaptation are bottleneck problems restricting future development of
computational fluid dynamics (CFD). Automatic and intelligent mesh generation is still worth …

网格生成和自适应是制约计算流体力学未来发展的瓶颈问题之一, 网格生成自动化和智能化仍是
一个需要持续研究的领域. 随着高性能计算算力的提升和大数据时代的到来 …

This paper gives a general overview of the basic features and latest enhancements of the
finite element code ELFIN, developed by the authors for research in the electrical …

The accuracy of numerical computation heavily relies on appropriate meshing, which serves
as the foundation for numerical computation. Although adaptive refinement methods are …