FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical
Response Prediction

FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction

31 January 2020

Papers citing "FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction"

13 / 13 papers shown

Title
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations Hamidreza Eivazi Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 43 0 0 27 Mar 2025
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 43 0 0 27 Sep 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review Doksoo Lee Wei-Neng Chen Liwei Wang Yu-Chin Chan Wei Chen AI4CE 22 78 0 01 Jul 2023
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations Yaohua Zang Gang Bao 26 4 0 21 May 2023
Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations Tengfei Xu Dachuan Liu Peng Hao Bo Wang 36 4 0 09 Apr 2023
Physics Informed Neural Network for Dynamic Stress Prediction H. Bolandi Gautam Sreekumar Xuyang Li N. Lajnef Vishnu Naresh Boddeti AI4CE 12 23 0 28 Nov 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 24 187 0 26 Aug 2022
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks Winfried Lotzsch Simon Ohler Johannes Otterbach AI4CE 24 18 0 28 Jun 2022
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics Xin-Yang Liu Min Zhu Lu Lu Hao Sun Jian-Xun Wang PINN AI4CE 28 45 0 09 May 2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain K. Bao Wenjuan Yao Xiaoya Zhang Wei Peng Yu Li AI4CE 26 10 0 15 Mar 2022
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs Biswajit Khara Aditya Balu Ameya Joshi S. Sarkar C. Hegde A. Krishnamurthy Baskar Ganapathysubramanian 26 19 0 04 Oct 2021
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data Xiaoyu Zhao Zhiqiang Gong Yunyang Zhang Wen Yao Xiaoqian Chen OOD AI4CE 74 91 0 26 Sep 2021
Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models A. Koeppe F. Bamer M. Selzer B. Nestler Bernd Markert PINN AI4CE 6 9 0 20 Apr 2021