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Exploring the 3D architectures of deep material network in data-driven multiscale mechanics
2 January 2019
Zeliang Liu
C. T. Wu
3DV
AI4CE
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Papers citing
"Exploring the 3D architectures of deep material network in data-driven multiscale mechanics"
14 / 14 papers shown
Orientation-aware interaction-based deep material network in polycrystalline materials modeling
Computer Methods in Applied Mechanics and Engineering (CMAME), 2025
Ting-Ju Wei
Tung-Huan Su
Chuin-Shan Chen
AI4CE
325
7
0
04 Feb 2025
A review on data-driven constitutive laws for solids
Archives of Computational Methods in Engineering (ACME), 2024
J. Fuhg
G. A. Padmanabha
N. Bouklas
B. Bahmani
WaiChing Sun
Nikolaos N. Vlassis
Moritz Flaschel
P. Carrara
L. Lorenzis
AI4CE
AILaw
336
108
0
06 May 2024
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
394
2
0
27 Sep 2023
Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen
Journal of Computing and Information Science in Engineering (JCISE), 2023
J. Fuhg
N. Bouklas
Reese E. Jones
192
17
0
21 Aug 2023
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites
Journal of engineering mechanics (J. Eng. Mech.), 2023
Haoyan Wei
Chengtang Wu
Wei Hu
Tung-Huan Su
Hitoshi Oura
M. Nishi
T. Naito
Stan Chung
Leo Shen
AI4CE
195
31
0
06 Jan 2023
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling
Xiaolong He
Qizhi He
Jiun-Shyan Chen
AI4CE
PINN
SyDa
186
63
0
03 Sep 2022
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
Computer Methods in Applied Mechanics and Engineering (CMAME), 2021
Filippo Masi
I. Stefanou
AI4CE
352
129
0
30 Aug 2021
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence
npj Computational Materials (npj Comput Mater), 2021
J. Mianroodi
Shahed Rezaei
N. Siboni
Bai-Xiang Xu
Dierk Raabe
AI4CE
203
47
0
05 Aug 2021
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks
Computer Methods in Applied Mechanics and Engineering (CMAME), 2021
J. Fuhg
M. Marino
N. Bouklas
205
83
0
07 May 2021
Model-data-driven constitutive responses: application to a multiscale computational framework
J. Fuhg
C. Boehm
N. Bouklas
A. Fau
P. Wriggers
M. Marino
AILaw
AI4CE
175
61
0
06 Apr 2021
Cell division in deep material networks applied to multiscale strain localization modeling
Zeliang Liu
AI4CE
183
26
0
18 Jan 2021
Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks
Computational Mechanics (CM), 2020
Qiming Zhu
Zeliang Liu
Jinhui Yan
PINN
AI4CE
229
406
0
28 Jul 2020
Intelligent multiscale simulation based on process-guided composite database
Zeliang Liu
Haoyan Wei
Tianyu Huang
C. T. Wu
SyDa
AI4CE
264
24
0
20 Mar 2020
Deep material network with cohesive layers: Multi-stage training and interfacial failure analysis
Computer Methods in Applied Mechanics and Engineering (CMAME), 2019
Zeliang Liu
AI4CE
116
53
0
07 Aug 2019
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