A physical-statistical model for density control of nanowires

Tirthankar Dasgupta, Benjamin Weintraub, V. Roshan Joseph

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

In order to develop a simple, scalable, and cost-effective technique for controlling zinc oxide nanowire array growth density, layer-by-layer polymer thin films were used in a solution-based growth process. The objective of this article is to develop a model connecting the thickness of polymer films to the observed density of nanowires that would enable prediction, and consequently control, of nanowire array density. A physical-statistical model that incorporates available physical knowledge of the process in a statistical framework is proposed. Model parameters are estimated using the maximum likelihood method. Apart from helping scientists achieve the basic objective of prediction control and quantification of uncertainty, the model facilitates a better understanding of the fundamental scientific phenomena that explain the growth mechanism.

Original languageEnglish (US)
Pages (from-to)233-241
Number of pages9
JournalIIE Transactions (Institute of Industrial Engineers)
Volume43
Issue number4
DOIs
StatePublished - Apr 1 2011

Fingerprint

Nanowires
Polymer films
Zinc oxide
Maximum likelihood
Thin films
Statistical Models
Costs
Uncertainty

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Keywords

  • Fisher information
  • Nanotechnology
  • Poisson GLM
  • diffusion
  • maximum likelihood

Cite this

Dasgupta, Tirthankar ; Weintraub, Benjamin ; Joseph, V. Roshan. / A physical-statistical model for density control of nanowires. In: IIE Transactions (Institute of Industrial Engineers). 2011 ; Vol. 43, No. 4. pp. 233-241.
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A physical-statistical model for density control of nanowires. / Dasgupta, Tirthankar; Weintraub, Benjamin; Joseph, V. Roshan.

In: IIE Transactions (Institute of Industrial Engineers), Vol. 43, No. 4, 01.04.2011, p. 233-241.

Research output: Contribution to journalArticle

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