IMECH-IR

Browse/Search Results:  1-10 of 47 Help

Filters        
Selected(0)Clear Items/Page:    Sort:
Tension-compression asymmetry of the stress-strain behavior of the stacked graphene assembly: Experimental measurement and theoretical interpretation 期刊论文
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2021, 卷号: 157, 页码: 16
Authors:  Gao, Yang;  Xie, Yujie;  Wei, Anran;  Wei YJ(魏宇杰);  Chen, Tao;  Yao, Haimin
Adobe PDF(8646Kb)  |  Favorite  |  View/Download:275/42  |  Submit date:2021/11/01
Two-dimensional materials  Thin film  Stoney equation  Stacked assembly  Less-cohesive materials  
The Influence of Metastable Cellular Structure on Deformation Behavior in Laser Additively Manufactured 316L Stainless Steel 期刊论文
NANOMATERIALS, 2021, 卷号: 11, 期号: 11, 页码: 13
Authors:  Li N(李娜);  Li ZY(李正阳);  Wei YJ(魏宇杰)
Adobe PDF(6117Kb)  |  Favorite  |  View/Download:266/36  |  Submit date:2022/01/13
laser additive manufacturing  metastable cellular structures  316L stainless steel  coherent precipitates  stacking fault energy  
Physics-driven machine learning model on temperature and time-dependent deformation in lithium metal and its finite element implementation 期刊论文
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2021, 卷号: 153, 页码: 104481
Authors:  Wen JC(温济慈);  Zou, Qingrong;  Wei YJ(魏宇杰)
Adobe PDF(3559Kb)  |  Favorite  |  View/Download:287/74  |  Submit date:2022/10/25
Physics-driven machine learning  Lithium-metal anode  Creep  Finite-element analysis  Constitutive model  
Roughening for Strengthening and Toughening in Monolayer Carbon Based Composites 期刊论文
NANO LETTERS, 2021, 卷号: 21, 期号: 11, 页码: 4823-4829
Authors:  Xie WH(谢文慧);  Wei YJ(魏宇杰)
Adobe PDF(11471Kb)  |  Favorite  |  View/Download:157/69  |  Submit date:2022/10/25
Monolayer amorphous carbon  Graphene  Roughening Toughness  Strength  
A segmented load spectrum model for high-speed trains and its inflection stress as an indicator for line quality 期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2021, 卷号: 148, 页码: 12
Authors:  Yuan, Zheng;  Chen XJ(陈贤佳);  Ma, Lijun;  Li, Qiang;  Sun, Shouguang;  Wei YJ(魏宇杰)
Adobe PDF(4436Kb)  |  Favorite  |  View/Download:381/103  |  Submit date:2021/06/15
Load spectrum  Segmented Weibull distribution  Bogie frame  High-speed train  Inflection stress  
Interface Aspects in All-Solid-State Li-Based Batteries Reviewed 期刊论文
ADVANCED ENERGY MATERIALS, 2021, 页码: 55
Authors:  Chen, Chunguang;  Jiang, Ming;  Zhou, Tao;  Raijmakers, Luc;  Vezhlev, Egor;  Wu, Baolin;  Schuelli, Tobias U;  Danilov, Dmitri L;  Wei YJ(魏宇杰);  Eichel, Ruediger-A;  Notten, Peter H L
Adobe PDF(11997Kb)  |  Favorite  |  View/Download:248/54  |  Submit date:2021/03/30
all‐  solid‐  state batteries  depth profiling  interfaces  interfacial resolution  lithium detection  
Nanoscale precipitates as sustainable dislocation sources for enhanced ductility and high strength 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 卷号: 117, 期号: 10, 页码: 5204-5209
Authors:  Peng SY(彭神佑);  Wei YJ(魏宇杰);  Gao HJ(高华健)
Adobe PDF(1345Kb)  |  Favorite  |  View/Download:448/76  |  Submit date:2020/05/18
nanoscale precipitate  dislocation sources  ductility  strength  multiple-element alloy  
An in situ system for simultaneous stress measurement and optical observation of silicon thin film electrodes 期刊论文
JOURNAL OF POWER SOURCES, 2019, 卷号: 444, 页码: 5
Authors:  Chen J;  Yang L;  Han Y;  Bao YH;  Zhang KL;  Li X;  Pang J;  Chen HS;  Song WL;  Wei YJ(魏宇杰);  Fang DN
View  |  Adobe PDF(774Kb)  |  Favorite  |  View/Download:468/157  |  Submit date:2020/03/11
Lithium ion batteries  Silicon film  Multi-beam optical sensor (MOS)  in situ stress measurement  Colorimetric method  
The linear-dependence of adhesion strength and adhesion range on temperature in soft membranes 期刊论文
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2019, 卷号: 132, 页码: 12
Authors:  Chang ZH(常正华);  Yang RG(杨荣贵);  Wei YJ(魏宇杰)
View  |  Adobe PDF(3030Kb)  |  Favorite  |  View/Download:455/189  |  Submit date:2019/11/26
Soft membrane  Adhesion  Ripples  Thermal undulation  Helfrich Hamiltonian  
Thermal conductivity modeling using machine learning potentials: application to crystalline and amorphous silicon 期刊论文
MATERIALS TODAY PHYSICS, 2019, 卷号: 10, 页码: UNSP 100140
Authors:  Qian X.;  彭神佑.;  Li X.;  Wei YJ(魏宇杰);  Yang R.
View  |  Adobe PDF(1356Kb)  |  Favorite  |  View/Download:312/139  |  Submit date:2020/03/21
Thermal conductivity  Machine learning  Molecular dynamics  Phonons