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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
Authors:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)
Adobe PDF(6539Kb)  |  Favorite  |  View/Download：416/101  |  Submit date：2022/01/27
physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder  
PERSPECTIVES IN MECHANICS OF HETEROGENEOUS SOLIDS 期刊论文
Acta Mechanica Solida Sinica, 2011, 卷号: 24, 期号: 1, 页码: 1-26
Authors:  Chen CQ;  Cui JZ;  Duan HL;  Feng XQ;  He LH;  Hu GK;  Huang MJ;  Huo YZ;  Ji BH(季葆华);  Liu B;  Peng XH;  Shi HJ;  Sun QP;  Wang JX;  Wang YS;  Zhao HP;  Zhao YP;  Zheng QS;  Zou WN;  Feng, XQ (reprint author), Tsinghua Univ, AML, Dept Engn Mech, Beijing 100084, Peoples R China
Adobe PDF(1269Kb)  |  Favorite  |  View/Download：1278/496  |  Submit date：2012/04/01
Heterogeneous Materials  Smart Materials  Biological Materials  Multiscale Mechanics  Micro- And Nano-mechanics  Damage And Fracture  Constitutive Relation  Elastic Wave  Surface Effects  Liquid-crystalline Elastomers  Tin/nbn Superlattice Coatings  Micromechanical Damage Model  Dependent Adhesion Strength  Shape-memory Alloy  Phononic Crystals  Constitutive Relation  Superhydrophobic Surfaces  Pattern-formation  Numerous Microcracks