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Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
作者:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/08
Convolution isogeometric analysis (C-IGA)
Convolution hierarchical deep-learning neural network (C-hiDeNN)
Software 2.0
r-h-p-s-a adaptive finite element method (FEM)
High-order smoothness and convergence
HiDeNN-TD: Reduced-order hierarchical deep learning neural networks
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 389, 页码: 33
作者:
Zhang L(张磊)
;
Lu, Ye
;
Tang, Shaoqiang
;
Liu, Wing Kam
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/02/17
Hierarchical deep-learning neural networks
Proper generalized decomposition
Canonical tensor decomposition
Reduced order finite element method
Convergence study and error bound
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
期刊论文
AUTOPHAGY, 2021, 卷号: 17
作者:
Klionsky, Daniel J.
;
Abdel-Aziz, Amal Kamal
;
Abdelfatah, Sara
;
Abdellatif, Mahmoud
;
Abdoli, Asghar
收藏
  |  
浏览/下载:267/0
  |  
提交时间:2021/05/31
Autophagosome
cancer
flux
LC3
lysosome
macroautophagy
neurodegeneration
phagophore
stress
vacuole
Phase field modeling of fracture in nonlinearly elastic solids via energy decomposition
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: 347, 页码: 477-494
作者:
Tang, Shan
;
Zhang, Gang
;
Guo, Tian Fu
;
Guo, Xu
;
Liu, Wing Kam
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Energy decomposition
Hyperelastic materials
Fracture
Phase field
MAP123: A data-driven approach to use 1D data for 3D nonlinear elastic materials modeling
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: 357
作者:
Tang, Shan
;
Zhang, Gang
;
Yang, Hang
;
Li, Ying
;
Liu, Wing Kam
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Data-driven approach
Material law
Compressed data
Finite element analysis
Derivation of heterogeneous material laws via data-driven principal component expansions
期刊论文
COMPUTATIONAL MECHANICS, 2019, 卷号: 64, 页码: 365-379
作者:
Yang, Hang
;
Guo, Xu
;
Tang, Shan
;
Liu, Wing Kam
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/12/02
Computational data-driven
Artificial neural network
3D objective material laws
Principal strain and stress space
Engineering structure with microstructure
Clustering discretization methods for generation of material performance databases in machine learning and design optimization
期刊论文
COMPUTATIONAL MECHANICS, 2019, 卷号: 64, 页码: 281-305
作者:
Li, Hengyang
;
Kafka, Orion L.
;
Gao, Jiaying
;
Yu, Cheng
;
Nie, Yinghao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Machine learning
Reduced order modeling
Materials database
Heterogeneous materials
Multiscale design optimization
Fracture in tension-compression-asymmetry solids via phase field modeling
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: 357
作者:
Zhang, Gang
;
Guo, Tian Fu
;
Guo, Xu
;
Tang, Shan
;
Fleming, Mark
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2019/12/02
Nonlinear elastic materials
Fracture
Phase field
Tension-compression asymmetry
Soft tissue
Report of the workshop predictive theoretical, computational and experimental approaches for additive manufacturing (WAM 2016)
会议论文
Workshop on Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing, WAM 2016, Dalian, China, 2016-10-17
作者:
Guo, Xu
;
Cheng, Gengdong
;
Liu, Wing-Kam
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Theory, methods and tools for additive manufacturing oriented design and optimization
会议论文
Workshop on Predictive Theoretical, Computational and Experimental Approaches for Additive Manufacturing, WAM 2016, Dalian, China, 2016-10-17
作者:
Guo, Xu
;
Cheng, Gengdong
;
Liu, Wing-Kam
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
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