Automatic mesh generation by the let-it-grow neural network

Abstract

An automatic mesh generator is described based on a let-it-grow neural network. Starting from a rough mesh of triangles with a small number of nodes, the neural algorithm increases the number of nodes until a user-selected value is reached. The node growth is driven by a predefined probability density function. Several modifications to the original let-it-grow algorithm were made in order to save the boundary of the domain and to take the mesh quality into account. The study is of interest for magnetic devices.