AVS 58th Annual International Symposium and Exhibition
    Helium Ion Microscopy Focus Topic Tuesday Sessions
       Session HI+AS-TuA

Paper HI+AS-TuA10
Helium Ion Beam Induced Deposition Examined using a 3D Monte Carlo Simulation

Tuesday, November 1, 2011, 5:00 pm, Room 106

Session: Basics of Helium Ion Microscopy
Presenter: Daryl Smith, University of Tennessee Knoxville
Authors: D.A. Smith, University of Tennessee Knoxville
P.D. Rack, University of Tennessee Knoxville
P.F.A. Alkemade, Delft University of Technology, The Netherlands
H. Miro, Delft University of Technology, The Netherlands
Correspondent: Click to Email

The growth of nanostructures has traditionally been dominated by electron beam induced deposition (EBID) or gallium ion beam induced deposition (Ga-IBID). While EBID provides smooth sidewalls and good resolution for nanopillar growth, the cross-section for dissociation is low and etching is difficult as sputtering is negligible. Ga-IBID is a relatively faster method of producing nanostructures, however it suffers from lower resolution, alters deposited materials, and leaves an etching residue. A new tool in this field has been recently explored: the helium ion beam microscope. This tool has been modified to perform IBID using high energy helium ions. It has been found that He-IBID combines the high resolution of EBID with the speed of Ga-IBID. Moreover, there is less implantation damage and minimal sputtering compared to Ga beams.
To examine this process, a 3-dimensional Monte Carlo simulator has been designed based ion-solid-precursor interactions. This simulation system, named EnvisION, can provide useful knowledge of how user-controlled parameters can be optimized for highly efficient growth of nanostructures using this tool. In this work, an in-depth explanation of the simulation will be presented, including an example of its use examining the growth efficiencies of nanopillars grown on a silicon substrate using the (CH3)3Pt(CpCH3) precursor via He-IBID. Furthermore we compare how the morphology changes with dwell times, refresh time, precursor coverage and surface diffusion in order to span the range of growth regimes from mass-transport limited to reaction-rate limited deposition. The simulated morphologies predicted using the EnvisION simulator are compared to experimentally grown pillars to validate the simulation.