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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:1/0
  |  
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
Advanced Stimuli-Responsive Structure Based on 4D Aerogel and Covalent Organic Frameworks Composite for Rapid Reduction in Tetracycline Pollution
期刊论文
MOLECULES, 2023, 卷号: 28, 期号: 14, 页码: 14
作者:
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/10/07
COFs
stimuli-responsive
photocatalytic
shape memory
4D aerogel
Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
期刊论文
COMPUTATIONAL MECHANICS, 2023
作者:
Lu, Ye
;
Li, Hengyang
;
Zhang L(张磊)
;
Park, Chanwook
;
Mojumder, Satyajit
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/06/15
Convolution FEM and HiDeNN
Tensor decomposition
Reduced order modeling
Additive manufacturing
High-order smoothness
Isogeometric analysis (IGA)
Quasi-dynamic subgrid-scale kinetic energy equation model for large-eddy simulation of compressible flows
期刊论文
JOURNAL OF FLUID MECHANICS, 2022, 卷号: 947, 页码: 32
作者:
Qi, Han
;
Li, Xinliang
;
Hu, Running
;
Yu, Changping
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/09/16
turbulence modelling
Real-time identification of performance degradation stages of rolling element bearings by RVCFI
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 8
作者:
Meng, Jiadong
;
Yan, Changfeng
;
Wen, Tao
;
Wang, Zonggang
;
Chen, Guangyi
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/06/20
Condition based maintenance
Condition monitoring
Degradation
Singular value decomposition
Degradation stages
Envelope spectra
Fault time
Initial faults
Monitoring indicators
Performance degradation
Performance degradation stage
Rate of variation coefficient of fused indicator
Rolling Element Bearing
Variation coefficient
Adaptive specialization of a unique sponge body from the Cambrian Qingjiang biota
期刊论文
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2022, 卷号: 289, 期号: 1976, 页码: 9
作者:
Yun, Hao
;
Luo, Cui
;
Chang, Chao
;
Li, Luoyang
;
Reitner, Joachim
收藏
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浏览/下载:15/0
  |  
提交时间:2022/09/02
Hexactinellida
adaptative evolution
black shale
Cambrian
Qingjiang biota
Optimal convergence of finite element approximation to an optimization problem with PDE constraint*
期刊论文
INVERSE PROBLEMS, 2022, 卷号: 38, 期号: 4, 页码: 45
作者:
Gong, Wei
;
Tan, Zhiyu
;
Zhou, Zhaojie
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  |  
浏览/下载:13/0
  |  
提交时间:2022/04/29
inverse source problem
optimal control
finite element method
a priori error estimate
a posteriori error estimate
adaptivity
rate optimality
Optimal convergence of finite element approximation to an optimization problem with PDE constraint* * Wei Gong was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB 41000000), the National Key Basic Research Program (Grant No. 2018YFB0704304) and the National Natural Science Foundation of China (Grant No. 12071468, 11671391). Zhaojie Zhou was supported by the National Natural Science Foundation of China under Grant No. 11971276.
期刊论文
Inverse Problems, 2022, 卷号: 38, 期号: 4
作者:
Gong,Wei
;
Tan,Zhiyu
;
Zhou,Zhaojie
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/29
inverse source problem
optimal control
finite element method
a priori error estimate
a posteriori error estimate
adaptivity
rate optimality
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
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 4, 页码: 1853-1868
作者:
Han Z(韩志)
;
Yu SQ(余思泉)
;
Lin SB(林绍波)
;
Zhou DX(周定軒)
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/03/23
Feature extraction
Data mining
Deep learning
Task analysis
Optimization
Machine learning algorithms
Deep nets
feature extractions
generalization
learning theory
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