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Zhang, S.B. (2015) Mechanical behaviors of single crystalline and fivefold twinned Ag nanowires under compression. Computational Materials Science, 98. 320-327 doi:10.1016/j.commatsci.2014.11.032

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Reference TypeJournal (article/letter/editorial)
TitleMechanical behaviors of single crystalline and fivefold twinned Ag nanowires under compression
JournalComputational Materials Science
AuthorsZhang, S.B.Author
Year2015 (February)Volume98
PublisherElsevier BV
DOIdoi:10.1016/j.commatsci.2014.11.032Search in ResearchGate
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Mindat Ref. ID9508906Long-form Identifiermindat:1:5:9508906:1
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Full ReferenceZhang, S.B. (2015) Mechanical behaviors of single crystalline and fivefold twinned Ag nanowires under compression. Computational Materials Science, 98. 320-327 doi:10.1016/j.commatsci.2014.11.032
Plain TextZhang, S.B. (2015) Mechanical behaviors of single crystalline and fivefold twinned Ag nanowires under compression. Computational Materials Science, 98. 320-327 doi:10.1016/j.commatsci.2014.11.032
In(n.d.) Computational Materials Science Vol. 98. Elsevier BV

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Zhang, S.B. (2014) Microstructure- and surface orientation-dependent mechanical behaviors of Ag nanowires under bending. Computational Materials Science, 95. 53-62 doi:10.1016/j.commatsci.2014.07.016
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Zhang, Shuangbing, Wang, Yu (2015) Molecular dynamics simulation of tension–compression asymmetry in plasticity of fivefold twinned Ag nanopillars. Physics Letters A, 379. 603-606 doi:10.1016/j.physleta.2014.12.015
Kurban, Mustafa, Erkoç, Şakir (2016) Mechanical properties of CdZnTe nanowires under uniaxial stretching and compression: A molecular dynamics simulation study. Computational Materials Science, 122. 295-300 doi:10.1016/j.commatsci.2016.05.041
Gao, Yajun, Wang, Fenying, Zhu, Tiemin, Zhao, Jianwei (2010) Investigation on the mechanical behaviors of copper nanowires under torsion. Computational Materials Science, 49 (4). 826-830 doi:10.1016/j.commatsci.2010.06.031
Yang, Yang, Li, Suzhi, Ding, Xiangdong, Sun, Jun (2021) Pseudoelasticity in twinned α-Fe nanowires under bending. Computational Materials Science, 188. 110128pp. doi:10.1016/j.commatsci.2020.110128
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