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A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate

4 February 2021
Hongwei Guo
X. Zhuang
Timon Rabczuk
    AI4CE
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Papers citing "A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate"

10 / 10 papers shown
Title
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks
Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks
D. Veerababu
Prasanta K. Ghosh
73
0
0
26 Mar 2025
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
PINN
AI4CE
26
3
0
24 Nov 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
29
84
0
13 Apr 2022
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof
M. Kraus
PINN
AI4CE
33
92
0
19 Oct 2021
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening
  Simulations
Dynamic Mode Decomposition in Adaptive Mesh Refinement and Coarsening Simulations
Gabriel F. Barros
Malú Grave
Alex Viguerie
A. Reali
A. Coutinho
AI4CE
17
14
0
28 Apr 2021
Efficient training of physics-informed neural networks via importance
  sampling
Efficient training of physics-informed neural networks via importance sampling
M. A. Nabian
R. J. Gladstone
Hadi Meidani
DiffM
PINN
71
222
0
26 Apr 2021
Exact imposition of boundary conditions with distance functions in
  physics-informed deep neural networks
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks
N. Sukumar
Ankit Srivastava
PINN
AI4CE
41
241
0
17 Apr 2021
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 analysis
Hongwei Guo
X. Zhuang
Pengwan Chen
N. Alajlan
Timon Rabczuk
19
57
0
03 Oct 2020
Stochastic analysis of heterogeneous porous material with modified
  neural architecture search (NAS) based physics-informed neural networks using
  transfer learning
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning
Hongwei Guo
X. Zhuang
Timon Rabczuk
20
82
0
03 Oct 2020
Performance Evaluation of Supervised Machine Learning Techniques for
  Efficient Detection of Emotions from Online Content
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
M. Asghar
F. Subhan
Muhammad Imran
Fazal Masud Kundi
S. Shamshirband
Amir H. Mosavi
P. Csiba
Annamária R. Várkonyi-Kóczy
17
47
0
05 Aug 2019
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