Dynamically configured physics-informed neural network in topology optimization applications

12 December 2023

Papers citing "Dynamically configured physics-informed neural network in topology optimization applications"

5 / 5 papers shown

Title
Precise-Physics Driven Text-to-3D Generation Qingshan Xu Jiao Liu Melvin Wong Caishun Chen Yew-Soon Ong 18 3 0 19 Mar 2024
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 494 0 09 Feb 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 131 438 0 18 Dec 2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 100 168 0 05 Mar 2020
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 153 1,339 0 27 Aug 2019