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O: Fachverband Oberflächenphysik

O 100: Nanostructures at surfaces: Dots, particles, clusters II

O 100.5: Vortrag

Donnerstag, 15. März 2018, 16:15–16:30, MA 141

General geometry DLVO model for particle deposition on patterned surfaces — •Joakim Löfgren, Johnas Eklöf, Kasper Moth-Poulsen, and Paul Erhart — Chalmers University of Technology, Gothenburg, Sweden

Molecular electronics holds the key to the continued miniaturization of transistors and diodes, and thus provides a pathway to next-generation electronics. In this context, the deposition of nanoparticles onto surfaces with pre-patterned features is currently being investigated as an efficient means for assembling circuits. Here, predictive modeling of the deposition process would provide an invaluable tool in designing optimized manufacturing protocols. Deposition problems are typically studied within the confines of DLVO theory, where interaction energies are given by analytical expressions but the geometry of the interacting entities is restricted to simple shapes such as spherical particles or flat surfaces, which renders them unsuitable for describing the deposition on patterned surfaces.

In this work we seek to remedy this situation by combining a general-geometry extension of DLVO theory with a random sequential adsorption algorithm to model the deposition onto pre-patterned surfaces. Finite-size effects are taken into account by modeling the geometry of the surface as a collection of virtual particles that interact with the deposited particle. The interaction potentials are based on analytical DLVO expressions and are fitted to reproduce the proper limiting forms. Using this approach we are able to predict optimal surface patterns for capturing particles in various pre-defined geometries.