English

A Novel Predictive Tool in Nanoengineering: Straightforward Estimation of Superconformal Filling Efficiency

Materials Science 2009-11-07 v1

Abstract

It is shown that the superconformal filling (SCF) efficiency (ϵSCF\epsilon_{SCF}) of nano-scale cavities can be rationalized in terms of relevant physical and geometric parameters. Based on extensive numerical simulations and using the dynamic scaling theory of interface growth, it is concluded that the relevant quantity for the evaluation of ϵSCF\epsilon_{SCF} is the so-called "physical" aspect ratio SP=L/Mβ/αS_{P} = L/M^{\beta/\alpha}, where α\alpha (β\beta) is the roughness (growth) exponent that governs the dynamic evolution of the system and LL (MM) is the typical depth (width) of the cavity. The theoretical predictions are in excellent agreement with recently reported experimental data for the SCF of electrodeposited copper and chemically deposited silver in confined geometries, thus giving the basis of a new tool to manage nanoengineering-related problems not completely resolved so far.

Keywords

Cite

@article{arxiv.cond-mat/0210139,
  title  = {A Novel Predictive Tool in Nanoengineering: Straightforward Estimation of Superconformal Filling Efficiency},
  author = {A. De Virgiliis and O. Azzaroni and R. C. Salvarezza and E. V. Albano},
  journal= {arXiv preprint arXiv:cond-mat/0210139},
  year   = {2009}
}

Comments

3 pages, 2 figures