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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
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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  
Self-Propelled Swimming of a Flexible Propulsor Actuated by a Distributed Active Moment 期刊论文
Fluids, 2023, 卷号: 8, 期号: 1, 页码: 29
Authors:  Han CH(韩长鸿);  Zhang ZY(张治愚);  Zhang X(张星)
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self-propulsion  ground effect  turning maneuver  flexible propulsor  fluid-structure interaction  active moment  traveling wave  cruising speed  cost of transport  
Phase-Field Simulation on the Effect of Second-Phase Particles on Abnormal Growth of Goss Grains in Fe-3%Si Steels 期刊论文
NANOMATERIALS, 2022, 卷号: 12, 期号: 23, 页码: 20
Authors:  Wang,Mingtao;  Xu,Yongkai;  Hu,Jinlong;  Fang,Feng;  Jin,Jianfeng;  Jia,Tao;  Peng Q(彭庆)
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phase-field simulation  abnormal grain growth  Fe-3%Si steel  second-phase particle  Goss grain  
虚单元计算方法的最新理论与应用进展 期刊论文
力学进展, 2022, 卷号: 52, 期号: 04, 页码: 874-913
Authors:  刘传奇;  许广涛;  魏宇杰
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虚单元法  非多项式函数  工程科学计算  单元凸凹性  
单晶Ni_(3)Al屈服强度尺寸和应变率综合效应的理论模型(英文) 期刊论文
Transactions of Nonferrous Metals Society of China, 2022, 页码: 15
Authors:  张志伟;  蔡微;  王军;  杨荣;  肖攀;  柯孚久;  卢春生
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屈服强度  尺寸  应变率  单晶  Ni_(3)Al  
Parametric and V&V study in a fundamental CFD process: revisiting the lid-driven cavity flow 期刊论文
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2022, 页码: 16
Authors:  Ge, Mingming;  Zhang XL(张鑫磊);  Brookshire, Kaleb;  Coutier-Delgosha, Olivier
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Lid-driven cavity  Fluid dynamics  Computational fluid dynamics  Numerical method  Verification and validation  
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)
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physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder  
Mobility of the {0110} inversion domain boundary in ZnO nanopillars 期刊论文
MATERIALS LETTERS, 2021, 卷号: 305, 页码: 3
Authors:  Wang J(王军);  Zhou, Min;  Yang R(杨荣);  Xiao P(肖攀);  Ke FJ(柯孚久);  Lu CS(卢春生)
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ZnO  Inversion domain boundary  Apparent activation energy  Microstructure  Simulation and modelling  
Repeatable mechanical energy absorption of ZnO nanopillars 期刊论文
MATERIALS TODAY COMMUNICATIONS, 2021, 卷号: 29, 页码: 8
Authors:  Wang J(王军);  Zhou M;  Yang R(杨荣);  Xiao P(肖攀);  Ke FJ(柯孚久);  Lu CS(卢春生)
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ZnO nanopillars  Repeatable energy absorption  Phase transformation  Inversion domain boundary  Molecular dynamics  
Interfacial behavior of phospholipid monolayers revealed by mesoscopic simulation 期刊论文
BIOPHYSICAL JOURNAL, 2021, 卷号: 120, 期号: 21, 页码: 4751-4762
Authors:  Zhu YZ(朱勇铮);  Bai X(白轩);  Hu GQ(胡国庆)
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