The mixed deep energy method for resolving concentration features in finite strain hyperelasticity

15 April 2021

Papers citing "The mixed deep energy method for resolving concentration features in finite strain hyperelasticity"

23 / 23 papers shown

Title
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams M. Eshaghi M. Bamdad C. Anitescu Yizheng Wang X. Zhuang Timon Rabczuk AI4CE 19 5 0 04 Aug 2024
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity Honghui Du Binyao Guo QiZhi He AI4CE 30 0 0 15 Jul 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 25 0 0 06 May 2024
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations Shahed Rezaei Reza Najian Asl S. Faroughi Mahdi Asgharzadeh Ali Harandi Rasoul Najafi Koopas G. Laschet Stefanie Reese Markus Apel AI4CE 26 4 0 28 Mar 2024
Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks Stefan Hildebrand Sandra Klinge 26 0 0 04 Mar 2024
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations Shahed Rezaei Ahmad Moeineddin Michael Kaliske Markus Apel AI4CE 25 4 0 04 Jan 2024
Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics Stefan Hildebrand Sandra Klinge AI4CE 10 2 0 04 Jul 2023
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs Jinshuai Bai Guirong Liu Ashish Gupta Laith Alzubaidi Xinzhu Feng Yuantong T. Gu PINN 14 1 0 13 Apr 2023
Learning solution of nonlinear constitutive material models using physics-informed neural networks: COMM-PINN Shahed Rezaei Ahmad Moeineddin Ali Harandi PINN 12 17 0 10 Apr 2023
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains Ali Harandi Ahmad Moeineddin Michael Kaliske Stefanie Reese Shahed Rezaei AI4CE PINN 18 42 0 09 Feb 2023
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 16 3 0 24 Nov 2022
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 8 5 0 23 Nov 2022
Modular machine learning-based elastoplasticity: generalization in the context of limited data J. Fuhg Craig M. Hamel K. Johnson Reese E. Jones N. Bouklas 14 48 0 15 Oct 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 19 112 0 27 Jun 2022
Calibrating constitutive models with full-field data via physics informed neural networks Craig M. Hamel K. Long S. Kramer AI4CE 19 28 0 30 Mar 2022
A deep learning energy method for hyperelasticity and viscoelasticity Diab W. Abueidda S. Koric R. Al-Rub Corey M. Parrott K. James N. Sobh AI4CE 11 59 0 15 Jan 2022
Interval and fuzzy physics-informed neural networks for uncertain fields J. Fuhg Ioannis Kalogeris A. Fau N. Bouklas AI4CE 34 18 0 18 Jun 2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks T. Kadeethum Daniel O’Malley J. Fuhg Youngsoo Choi Jonghyun Lee Hari S. Viswanathan N. Bouklas AI4CE 18 85 0 27 May 2021
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks J. Fuhg M. Marino N. Bouklas 23 59 0 07 May 2021
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation T. Kadeethum F. Ballarin N. Bouklas AI4CE 43 24 0 28 Jan 2021
Meshless physics-informed deep learning method for three-dimensional solid mechanics Diab W. Abueidda Q. Lu S. Koric AI4CE 15 111 0 02 Dec 2020
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 1,333 0 27 Aug 2019