Meshless physics-informed deep learning method for three-dimensional
solid mechanics

Meshless physics-informed deep learning method for three-dimensional solid mechanics

2 December 2020

Diab W. Abueidda

Papers citing "Meshless physics-informed deep learning method for three-dimensional solid mechanics"

7 / 7 papers shown

Title
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki Ali Harandi Mayu Muramatsu A. Viardin Markus Apel T. Brepols Stefanie Reese Shahed Rezaei AI4CE 26 12 0 21 May 2024
Dynamically configured physics-informed neural network in topology optimization applications Ji-Cheng Yin Ziming Wen Shuhao Li Yaya Zhang Hu Wang AI4CE PINN 29 4 0 12 Dec 2023
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes Gledson Rodrigo Tondo Sebastian Rau I. Kavrakov Guido Morgenthal 14 6 0 21 Sep 2023
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 19 3 0 24 Nov 2022
Calibrating constitutive models with full-field data via physics informed neural networks Craig M. Hamel K. Long S. Kramer AI4CE 25 28 0 30 Mar 2022
PH-Net: Parallelepiped Microstructure Homogenization via 3D Convolutional Neural Networks Hao Peng An-Qing Liu Jingcheng Huang Lingxin Cao Jikai Liu Lin Lu AI4CE 13 20 0 18 Jan 2022
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 1,333 0 27 Aug 2019