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Deep Autoencoder based Energy Method for the Bending, Vibration, and
  Buckling Analysis of Kirchhoff Plates

Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates

9 October 2020
X. Zhuang
Hongwei Guo
N. Alajlan
Timon Rabczuk
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates"

11 / 11 papers shown
Title
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous
  Beams
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams
M. Eshaghi
M. Bamdad
C. Anitescu
Yizheng Wang
X. Zhuang
Timon Rabczuk
AI4CE
217
21
0
04 Aug 2024
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics ApplicationsData-Centric Engineering (DCE), 2023
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
340
26
0
31 Oct 2023
Enhanced multi-fidelity modelling for digital twin and uncertainty
  quantification
Enhanced multi-fidelity modelling for digital twin and uncertainty quantificationProbabilistic Engineering Mechanics (PEM), 2023
A. Desai
N. Navaneeth
Sondipon Adhikari
Souvik Chakraborty
AI4CE
130
10
0
26 Jun 2023
Physics-informed radial basis network (PIRBN): A local approximating
  neural network for solving nonlinear PDEs
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
244
1
0
13 Apr 2023
Utilising physics-guided deep learning to overcome data scarcity
Utilising physics-guided deep learning to overcome data scarcity
Jinshuai Bai
Laith Alzubaidi
Qingxia Wang
E. Kuhl
Bennamoun
Yuantong T. Gu
PINNAI4CE
318
4
0
24 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CEAIMat
249
35
0
27 Oct 2022
Topology Optimization via Machine Learning and Deep Learning: A Review
Topology Optimization via Machine Learning and Deep Learning: A ReviewJournal of Computational Design and Engineering (JCDE), 2022
S. Shin
Dongju Shin
Namwoo Kang
AI4CE
188
109
0
19 Oct 2022
Physics-Informed Neural Networks for Shell Structures
Physics-Informed Neural Networks for Shell Structures
Jan-Hendrik Bastek
D. Kochmann
AI4CE
109
69
0
26 Jul 2022
Learning Mechanically Driven Emergent Behavior with Message Passing
  Neural Networks
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Peerasait Prachaseree
Emma Lejeune
PINNAI4CE
227
12
0
03 Feb 2022
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and
  Uncertainty Quantification
Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty QuantificationInternational Journal for Numerical Methods in Engineering (IJNME), 2022
A. Thakur
S. Chakraborty
MedIm
137
4
0
19 Jan 2022
Analysis of three dimensional potential problems in non-homogeneous
  media with physics-informed deep collocation method using material transfer
  learning and sensitivity analysis
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysisEngineering computations (Eng. Comput.), 2020
Hongwei Guo
X. Zhuang
Pengwan Chen
N. Alajlan
Timon Rabczuk
234
70
0
03 Oct 2020
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