Solving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks

24 August 2023

Papers citing "Solving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks"

7 / 7 papers shown

Title
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method Conor Rowan K. Maute Alireza Doostan AI4CE 41 0 0 08 May 2025
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Tarik Sahin Jacopo Bonari Sebastian Brandstaeter Alexander Popp 16 0 0 24 Apr 2025
Physics-Informed Neural Network Based Digital Image Correlation Method Boda Li Shichao Zhou Qinwei Ma Shaopeng Ma 24 1 0 02 Sep 2024
Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials Thi Nguyen Khoa Nguyen T. Dairay Raphael Meunier Christophe Millet Mathilde Mougeot AI4CE PINN 30 0 0 06 May 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 39 493 0 09 Feb 2021
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 117 506 0 11 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 145 1,338 0 27 Aug 2019