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Proceedings Paper

Computational modeling of laser-induced self-organization in nanoscopic metal films for predictive nanomanufacturing
Author(s): Justin Trice; Ramki Kalyanaraman; Radhakrishna Sureshkumar
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Paper Abstract

Computer models that accurately predict the dynamics of nanoscale self-organization are vital towards knowledge-based nanomanufacturing. Here we present a first principles computational model of laser induced self-organization of thin metallic films (thickness <= 30 nm ) into nanoscale patterns which eventually evolve into ordered nanoparticles. The pattern formation is initiated by a thin film hydrodynamic instability and the ensuing length scales are related to the intrinsic materials properties such as surface tension and van der Waal's dispersion forces. We discuss a fully implicit, finite-difference method with adaptive time step and mesh size control for the solution of the nonlinear, fourth-order PDE governing the thin film dynamics. These simulations capture the changing morphology of the film due to the competition between surface tension and van der Waals forces. Simulation results are used to understand the nonlinear amplifcation of film height perturbations ~(KT/γ)1/2, where K, T and γ represent the Boltzmann constant, absolute temperature, and surface tension respectively,leading eventually to film rupture.

Paper Details

Date Published: 10 September 2007
PDF: 8 pages
Proc. SPIE 6648, Instrumentation, Metrology, and Standards for Nanomanufacturing, 66480K (10 September 2007); doi: 10.1117/12.734510
Show Author Affiliations
Justin Trice, Washington Univ. in St. Louis (United States)
Ramki Kalyanaraman, Washington Univ. in St. Louis (United States)
Radhakrishna Sureshkumar, Washington Univ. in St. Louis (United States)


Published in SPIE Proceedings Vol. 6648:
Instrumentation, Metrology, and Standards for Nanomanufacturing
Michael T. Postek; John A. Allgair, Editor(s)

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