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2012.01547
Cited By
Meshless physics-informed deep learning method for three-dimensional solid mechanics
2 December 2020
Diab W. Abueidda
Q. Lu
S. Koric
AI4CE
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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
11
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
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