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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：9/0  |  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: 34./通讯作者：Liu, Yang, Yan, Xunshi
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：19/0  |  Submit date：2024/11/01
Network structure  Parameter-sharing  Feature-enhanced physics-informed neural  networks  Symmetry decomposition  
A framework of data assimilation for wind flow fields by physics-informed neural networks 期刊论文
APPLIED ENERGY, 2024, 卷号: 371, 页码: 18./通讯作者：Sun, Zhenxu
Authors:  Yan C(闫畅);  Xu SF(许盛峰);  Sun ZX(孙振旭);  Lutz, Thorsten;  Guo DL(郭迪龙);  Yang GW(杨国伟)
Favorite  |  View/Download：9/0  |  Submit date：2024/11/22
Data assimilation  Wind field reconstruction  Physics-informed deep learning  
Chien-physics-informed neural networks for solving singularly perturbed boundary-layer problems 期刊论文
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2024, 卷号: 45, 期号: 9, 页码: 1467-1480./通讯作者：Zhang, Lei
Authors:  Wang L(王笼);  Zhang L(张磊);  He GW(何国威)
Favorite  |  View/Download：29/0  |  Submit date：2024/10/08
physics-informed neural network (PINN)  singular perturbation  boundary-layer problem  composite asymptotic expansion  O302  
Top-down constitutive modelling to capture nanoscale shear localization 期刊论文
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2024, 卷号: 187, 页码: 17./通讯作者：Wei, Yujie
Authors:  Wen JC(温济慈);  Wei YJ(魏宇杰)
Favorite  |  View/Download：71/0  |  Submit date：2024/06/11
Deformation localization  Physics -Driven Machine Learning  Constitutive Model  Nanoscale shear bands  
Rapid evaluation of capillary pressure and relative permeability for oil-water flow in tight sandstone based on a physics-informed neural network 期刊论文
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2023./通讯作者：Lin, M (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China., Lin, M (corresponding author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100190, Peoples R China., Wu, ST (corresponding author), PetroChina, Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China.
Authors:  Ji LL(姬莉莉);  Xu, Fengyang;  Lin M(林缅);  Jiang WB(江文滨);  Cao GH(曹高辉);  Wu, Songtao;  Jiang, Xiaohua
Adobe PDF(7570Kb)  |  Favorite  |  View/Download：140/20  |  Submit date：2023/09/05
Two-phase flow  Capillary pressure curve  Relative permeability curve  Tight sandstone  Physics-informed neural network  
A thermal load identification method based on physics-guided neural network for honeycomb sandwich structures 期刊论文
SMART MATERIALS AND STRUCTURES, 2023, 卷号: 32, 期号: 7, 页码: 75008./通讯作者：Lu, LL
Authors:  Du WQ(杜文琪);  Yang LK(杨乐凯);  Lu LL(路玲玲);  Le J(乐杰);  Yu MK(于明凯);  Song HW(宋宏伟);  Xing, Xiaodong;  Huang, Chenguang
Adobe PDF(10877Kb)  |  Favorite  |  View/Download：149/11  |  Submit date：2023/06/15
thermal load identification  physics-guided neural network  physics-guided loss function  thermal feature parameters  laser irradiation  
A novel physics-based model for fast computation of blood flow in coronary arteries 期刊论文
BIOMEDICAL ENGINEERING ONLINE, 2023, 卷号: 22, 期号: 1, 页码: 56./通讯作者：Zhang, LJ (corresponding author), Nanjing Univ, Jinling Hosp, Dept Med Imaging, Med Sch, Nanjing, Jiangsu, Peoples R China., Gao, Q (corresponding author), Zhejiang Univ, Inst Fluid Engn, Sch Aeronaut & Astronaut, Hangzhou, Peoples R China.
Authors:  Hu, Xiuhua;  Liu, Xingli;  Wang HP(王洪平);  Xu, Lei;  Wu, Peng;  Zhang, Wenbing;  Niu, Zhaozhuo;  Zhang, Longjiang;  Gao, Qi
Adobe PDF(2772Kb)  |  Favorite  |  View/Download：118/16  |  Submit date：2023/07/17
Coronary computed tomography angiography  Fractional flow reserve  Computational fluid dynamics  Physics-based fast model  
A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network 期刊论文
ACTA MECHANICA SINICA, 2023, 卷号: 39, 期号: 3, 页码: 322302./通讯作者：Sun, ZX, Huang, RF (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
Authors:  Xu SF(许盛峰);  Sun ZX(孙振旭);  Huang RF(黄仁芳);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Ju SJ(鞠胜军)
Adobe PDF(4793Kb)  |  Favorite  |  View/Download：146/38  |  Submit date：2023/04/20
Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics  
Academician Wen-Rui Hu - Eminent Pioneer and Prominent Leader of Microgravity Science in China 期刊论文
MICROGRAVITY SCIENCE AND TECHNOLOGY, 2022, 卷号: 34, 期号: 2, 页码: 19(1-16)./通讯作者：Zhao, JF
Authors:  Li K(李凯);  Zhao JF(赵建福);  Kang Q(康琦);  Wang SF(王双峰)
Adobe PDF(2734Kb)  |  Favorite  |  View/Download：198/38  |  Submit date：2022/10/23
Academician Wen-Rui Hu  China Manned Space Program  Microgravity research in China  National Microgravity Laboratory  Drop Tower Beijing  Chinese recoverable satellite  China Space Station  Thermocapillary convection  Volume ratio  Gravity independence criteria of two-phase flow  Taiji program in space gravitational wave physics