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Composites Part B Engineering
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Molecular statistical thermodynamics – A distinct and efficient numerical approach to quasi-static analysis of nanomaterials at finite temperature

Authors: P. Xiao; J. Wang; F.J. Ke; Y.L. Bai;

Molecular statistical thermodynamics – A distinct and efficient numerical approach to quasi-static analysis of nanomaterials at finite temperature

Abstract

This paper briefly reviews a distinct and efficient numerical approach to quasi-static analysis of nanomaterials at finite temperature: molecular statistical thermodynamics (MST), especially its various applications and efficiency. Different from molecular dynamics (MD) based on Newton equations, MST is a half-analytical numerical method based on the minimization of Helmholtz free energy. The applications of MST to compression of nanorods, nanoindentations and tension of nanowires show that MST is capable of characterizing the nucleation, propagation and interaction of dislocations as well as phase transformations involved in quasi-static deformations. Not only the mechanical responses and properties calculated with MST are in agreement with MD simulations, but the size effect of Young’s modulus of zinc oxide nanowires calculated with MST are also in good consistency with experimental results. All these results justify the reliability of MST. Furthermore, the efficiency analysis indicates that MST is dramatically faster than MD for quasi-static processes and is expected to be capable of simulating nanomaterials at larger scales with high efficiency.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Top 10%
bronze