Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab

arXiv:2310.03755v2 Announce Type: replace-cross
Abstract: We present an open-source Physics Informed Neural Network environment for simulations of transient phenomena on two-dimensional rectangular domains, with the following features: (1) it is compatible with Google Colab which allows automatic execution on cloud environment; (2) it supports two dimensional time-dependent PDEs; (3) it provides simple interface for definition of the residual loss, boundary condition and initial loss, together with their weights; (4) it support Neumann and Dirichlet boundary conditions; (5) it allows for …

abstract arxiv cloud code colab cs.ce cs.lg cs.ms cs.na domains environment features google math.na network neural network physics pinn simulations type