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检索条件"机构=Dept. of Mechanics & Engineering Sciences"
5174 条 记 录,以下是1-10 订阅
排序:
Chien-physics-informed neural networks for solving singularly perturbed boundary-layer problems
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Applied Mathematics and mechanics(English Edition) 2024年 第9期45卷 1467-1480页
作者: Long WANG Lei ZHANG Guowei HE The State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of engineering sciences University of Chinese Academy of SciencesBeijing 100049China
A physics-informed neural network(PINN)is a powerful tool for solving differential equations in solid and fluid ***,it suffers from singularly perturbed boundary-layer problems in which there exist sharp changes cause... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Coupling of quasi-localized and phonon modes in glasses at low frequency
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Chinese Physics B 2024年 第5期33卷 564-571页
作者: 段军 蔡松林 丁淦 戴兰宏 蒋敏强 State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of engineering Science University of Chinese Academy of SciencesBeijing 101408China
Boson peak of glasses,a THz vibrational excess compared to Debye squared-frequency law,remains mysterious in condensed-matter physics and material *** appears in many different kinds of glassy matters and is also argu... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Critical current degradation in an epoxy-impregnated rare-earth Ba_(2)Cu_(3)O_(7-x)coated conductor caused by damage during a quench
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Applied Mathematics and mechanics(English Edition) 2024年 第9期45卷 1557-1572页
作者: Donghui LIU Huadong YONG Youhe ZHOU Institute of Superconductor mechanics Lanzhou UniversityLanzhou 730000China Department of mechanics and engineering sciences College of Civil Engineering and MechanicsLanzhou UniversityLanzhou 730000China Key Laboratory of mechanics on Disaster and Environment in Western China Ministry of Education of ChinaLanzhou UniversityLanzhou 730000China
High-temperature superconducting(HTS)rare-earth Ba_(2)Cu_(3)O_(7-x)(REBCO)coated conductors(CCs)have significant potential in high-current and high-field ***,owing to the weak interface strength of the laminated compo... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Micropillar compression using discrete dislocation dynamics and machine learning
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Theoretical & Applied mechanics Letters 2024年 第1期14卷 39-47页
作者: Jin Tao Dean Wei Junshi Yu Qianhua Kan Guozheng Kang Xu Zhang School of mechanics and Aerospace engineering Southwest Jiaotong UniversityChengdu 610031China State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China
Discrete dislocation dynamics(DDD)simulations reveal the evolution of dislocation structures and the interaction of *** study investigated the compression behavior of single-crystal copper micropillars using fewshot m... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
A dispersion-based impact identification method:mechanical model and experimental verification
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Acta Mechanica Sinica 2024年 第7期40卷 80-91页
作者: Zishang Liu Tianyu Chen Kun Zhang Yanpeng Wei Yacong Guo Bingchen Wei Key Laboratory of Microgravity(National Microgravity Laboratory) Institute of MechanicsChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics engineering University of Chinese Academy of SciencesBeijing 100049China School of engineering Science University of Chinese Academy of SciencesBeijing 100049China Key Laboratory for mechanics in Fluid Coupling Systems Institute of MechanicsChinese Academy of SciencesBeijing 100190China
External transient impact loads widely exist in the service environment of various engineering structures,and urgent engineering and military application requirements call for research on the theory and method of impa... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Resolving aging dynamics of a 3D colloidal glass
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Science China(Physics,mechanics & Astronomy) 2024年 第3期67卷 110-118页
作者: XiaoJuan Wang Jun Duan Gan Ding YunZhuo Lu Xing Lu LanHong Dai MinQiang Jiang State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of Materials Science and engineering Dalian Jiaotong UniversityDalian 116028China School of engineering Science University of Chinese Academy of SciencesBeijing 100049China
Physical aging is an inherent property of glassy matter, but understanding its microscopic mechanism remains a challenge particularly at the particle level. In this work, we use a confocal microscope to in-situ trace ... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Concise extraction and characterization of the pore-throat network in unconventional hydrocarbon reservoirs: A new perspective
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Petroleum Science 2024年 第3期21卷 1474-1487页
作者: Shu-Heng Du Yong-Min Shi State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of SciencesBeijing100190China School of engineering Science University of Chinese Academy of SciencesBeijing100049China School of Earth and Space sciences Peking UniversityBeijing100871China
In this study,a new image-based method for the extraction and characterization of pore-throat network for unconventional hydrocarbon storage and exploitation is proposed.“Pore-throat solidity”,which is analogous to ... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Prediction of chemical short-range order in high-/medium-entropy alloys
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Journal of Materials Science & Technology 2024年 第2期169卷 115-123页
作者: Pei-Yu Cao Jing Wang Ping Jiang Yun-Jiang Wang Fu-Ping Yuan Xiao-Lei Wu State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of ScienceBeijing 100190China School of engineering Science University of Chinese Academy of SciencesBeijing 100049China
Chemical short-range orders(CSROs),as the built-in sub-nanoscale entities in a high-/medium-entropy alloy(H/MEA),have aroused an ever-increasing *** multi-principal elements in an H/MEA to form a complex concentrated ... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Multi-Scale-Matching neural networks for thin plate bending problem
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Theoretical & Applied mechanics Letters 2024年 第1期14卷 11-15页
作者: Lei Zhang Guowei He The State Key Laboratory of Nonlinear mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of engineering Science University of Chinese Academy of SciencesBeijing 100049China
Physics-informed neural networks are a useful machine learning method for solving differential equations,but encounter challenges in effectively learning thin boundary layers within singular perturbation *** resolve t... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
A physics-informed neural network for simulation of finite deformation in hyperelastic-magnetic coupling problems
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Applied Mathematics and mechanics(English Edition) 2024年 第10期45卷 1717-1732页
作者: Lei WANG Zikun LUO Mengkai LU Minghai TANG Department of engineering mechanics College of Mechanics and Engineering SciencesHohai University School of Mechanical engineering and mechanics Ningbo University
Recently, numerous studies have demonstrated that the physics-informed neural network(PINN) can effectively and accurately resolve hyperelastic finite deformation problems. In this paper, a PINN framework for tackling... 详细信息
来源: 同方期刊数据库 同方期刊数据库 评论