Physics and geometry informed neural operator network with application to acoustic scattering

2 June 2024

Papers citing "Physics and geometry informed neural operator network with application to acoustic scattering"

4 / 4 papers shown

Title
Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints S. Nair Timothy F. Walsh Greg Pickrell Fabio Semperlotti 20 0 0 23 Apr 2025
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 493 0 09 Feb 2021
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains Ziqi Liu Wei Cai Zhi-Qin John Xu AI4CE 176 156 0 22 Jul 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 145 1,338 0 27 Aug 2019