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Direct numerical simulation of natural convection based on parameter-input physics-informed neural networks 期刊论文
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2025, 卷号: 236, 页码: 126379./通讯作者：Wang YW
Authors:  Ye,Shuran;  Huang JL(黄剑霖);  Zhang, Zhen;  Wang YW(王一伟);  Huang CG(黄晨光)
Favorite  |  View/Download：40/0  |  Submit date：2024/12/02
Natural convection  Physics-informed neural networks  Parameter-input PINNs  Ra number  Deep learning  
AsPINN: Adaptive symmetry-recomposition physics-informed neural networks 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 432, 页码: 117405./通讯作者：刘洋，闫循石
Authors:  Liu ZT(刘子提);  Liu Y(刘洋);  Yan, Xunshi;  Liu W(刘文);  Guo SQ(郭帅旗);  Zhang CA(张陈安)
Favorite  |  View/Download：41/0  |  Submit date：2024/11/01
Network structure  Parameter-sharing  Feature-enhanced physics-informed neural  networks  Symmetry decomposition  
Ultra-long-range force transmission in fiber networks enabled by multiaxial mechanical coupling 期刊论文
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2024, 卷号: 291, 页码: 10./通讯作者：Wang, Hailong
Authors:  Liu, Jingnan;  Wang, Mengyuan;  Xue, Chao;  Wang, Hongfa;  Wang, Hailong
Favorite  |  View/Download：151/0  |  Submit date：2024/04/29
Fiber networks  Long-range force transmission  Network connectivity  Tension-compression asymmetry  Multiaxial mechanical coupling  
Developing a Silicon Beam Emulator Using Graph Attention Networks 期刊论文
IEEE ACCESS, 2024, 卷号: 12, 页码: 179119-179129./通讯作者：Zhou, Dong, Zheng, Duanmu
Authors:  Lv, Siyuan;  Cheng, Qianxi;  Gong, Haojie;  Gao, Hao;  Zhou D(周东);  Zheng, Duanmu
Favorite  |  View/Download：14/0  |  Submit date：2025/01/13
Micromechanical devices  Silicon  Emulation  Attention mechanisms  Vectors  Graph neural networks  Computational modeling  Numerical models  Material properties  graph attention networks  MEMS silicon beams  finite element analysis  augmented graph generation  augmented graph generation  
Force measurement using strain-gauge balance in shock tunnel based on deep learning 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53./通讯作者：Wang, Yunpeng
Authors:  Nie SJ(聂少军);  Wang YP(汪运鹏);  Jiang ZL(姜宗林)
Adobe PDF(2346Kb)  |  Favorite  |  View/Download：223/71  |  Submit date：2024/02/26
Convolutional neural net-works  Deep learning  Frequency domain analysis  Force measurement  Time domain analysis  Recurrent neural networks  
New method of in situ high-resolution experiments and analysis of fracture networks formed by hydraulic fracturing 期刊论文
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 卷号: 217, 页码: 11./通讯作者：Lin, Mian
Authors:  Zheng SP(郑思平);  Lin M(林缅);  Jiang WB(江文滨);  Qiu X(邱鑫);  Chen Z(陈卓)
Adobe PDF(9888Kb)  |  Favorite  |  View/Download：296/70  |  Submit date：2022/09/16
Hydraulic fracturing  In situ  High-resolution  Tight sandstone  Fracture networks  
Microstructure evolution in Si+ ion irradiated and annealed Ti3SiC2 MAX phase 期刊论文
JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2022, 页码: 8./通讯作者：Ye, Chao, Peng, Qing
Authors:  Ye, Chao;  Chang, Qing;  Lei, Penghui;  Dong, Wenhui;  Peng Q(彭庆)
Adobe PDF(2055Kb)  |  Favorite  |  View/Download：363/123  |  Submit date：2022/06/11
annealing  dislocation networks  ion irradiation  ripplocations  Ti3SiC2  
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)  |  Favorite  |  View/Download：357/97  |  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  
Aggregation of nanoparticles and their effect on mechanical properties of carbon nanotube networks 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2022, 卷号: 202, 页码: 8./通讯作者：Wang, Chao
Authors:  Wu, Yue;  Wang C(王超);  Yang T(杨田)
Adobe PDF(12531Kb)  |  Favorite  |  View/Download：362/80  |  Submit date：2022/01/12
Carbon nanotube networks  Nanoparticles  Microstructure  Mechanical properties  Coarse-grained molecular dynamics  
A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network 期刊论文
Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56./通讯作者：张星
Authors:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)
Adobe PDF(6539Kb)  |  Favorite  |  View/Download：504/147  |  Submit date：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder