Quantitative analysis and predictive engineering of self-rolling of nanomembranes under anisotropic mismatch strain

Cheng Chen, Pengfei Song, Fanchao Meng, Xiao Li, Xinyu Liu, Jun Song

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

The present work presents a quantitative modeling framework for investigating the self-rolling of nanomembranes under different lattice mismatch strain anisotropy. The effect of transverse mismatch strain on the roll-up direction and curvature has been systematically studied employing both analytical modeling and numerical simulations. The bidirectional nature of the self-rolling of nanomembranes and the critical role of transverse strain in affecting the rolling behaviors have been demonstrated. Two fabrication strategies, i.e., third-layer deposition and corner geometry engineering, have been proposed to predictively manipulate the bidirectional rolling competition of strained nanomembranes, so as to achieve controlled, unidirectional roll-up. In particular for the strategy of corner engineering, microfabrication experiments have been performed to showcase its practical application and effectiveness. Our study offers new mechanistic knowledge towards understanding and predictive engineering of self-rolling of nanomembranes with improved roll-up yield.

Original languageEnglish
Article number485302
JournalNanotechnology
Volume28
Issue number48
DOIs
Publication statusPublished - 9 Nov 2017
Externally publishedYes

Keywords

  • anisotropic mismatch strain
  • corner engineering
  • self-rolling of nanomembranes

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