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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
Authors:
Zhang L(张磊)
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
;
Saha, Sourav
;
Guo, Jiachen
;
Li, Yangfan
;
Abbott, Trevor
;
Wagner, Gregory J.
;
Tang, Shaoqiang
;
Liu, Wing Kam
Adobe PDF(9021Kb)
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View/Download:225/53
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Submit date: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
Discovery of PDEs driven by data with sharp gradient or discontinuity
期刊论文
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2023, 卷号: 140, 页码: 33-43./通讯作者:Zhang, L
Authors:
Wang, Kang
;
Zhang L(张磊)
;
Tang, Shaoqiang
Adobe PDF(1166Kb)
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View/Download:56/2
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Submit date:2023/06/15
System identification
Partial differential equations
Gaussian process
Discontinuous data
Machine learning
Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond
期刊论文
COMPUTATIONAL MECHANICS, 2023./通讯作者:Lu, Y, Liu, WK
Authors:
Lu, Ye
;
Li, Hengyang
;
Zhang L(张磊)
;
Park, Chanwook
;
Mojumder, Satyajit
;
Knapik, Stefan
;
Sang, Zhongsheng
;
Tang, Shaoqiang
;
Apley, DanielW
;
Wagner, GregoryJ
;
Liu, WingKam
Adobe PDF(5358Kb)
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View/Download:98/10
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Submit date:2023/06/15
Convolution FEM and HiDeNN
Tensor decomposition
Reduced order modeling
Additive manufacturing
High-order smoothness
Isogeometric analysis (IGA)
Learning chaotic systems from noisy data via multi-step optimization and adaptive training
期刊论文
CHAOS, 2022, 卷号: 32, 期号: 12, 页码: 16./通讯作者:He, Guowei
Authors:
Zhang, Lei
;
Tang, Shaoqiang
;
He GW(何国威)
Adobe PDF(2127Kb)
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View/Download:238/62
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Submit date:2023/01/12
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./通讯作者:Tang, Shaoqiang, Liu, Wing Kam
Authors:
Zhang L(张磊)
;
Lu, Ye
;
Tang, Shaoqiang
;
Liu, Wing Kam
Adobe PDF(4228Kb)
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View/Download:323/78
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Submit date:2022/02/17
Hierarchical deep-learning neural networks
Proper generalized decomposition
Canonical tensor decomposition
Reduced order finite element method
Convergence study and error bound