From STM Images to Chemical Understanding: Kinetic Monte Carlo Simulations of Si(100) Etching
ORAL
Abstract
Etching reactions literally write a record of their chemical reactivity in the morphology of the etched surface -- a record that can be read using scanning tunneling microscopy (STM) and decoded with the help of simulation. We have developed a fully atomistic kinetic Monte Carlo simulation of Si(100) etching that is appropriate for aqueous etchants that produce fully H-terminated surfaces [e. g., NH$_{4}$F(aq), KOH(aq) and even H$_{2}$O]. The model assumes that the reactivity of individual surface sites is determined by the local geometry. As an example, we simulate the production of near-atomically flat Si(100) surfaces, recently observed experimentally, and show that interadsorbate stress plays a crucial role in determining the steady-state etch morphology. The simulated morphologies are in good agreement with experimental observations.
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Authors
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Ankush Gupta
Cornell University, Cornell University, Ithaca NY
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Ian T. Clark
Cornell University, Ithaca NY
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Brandon S. Aldinger
Cornell University, Cornell University, Ithaca NY
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Melissa A. Hines
Cornell University, Cornell University, Ithaca NY