4.6 Article

Predictive modeling of low solubility semiconductor alloys

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JOURNAL OF APPLIED PHYSICS
卷 120, 期 12, 页码 -

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AMER INST PHYSICS
DOI: 10.1063/1.4962849

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  1. NSF SCREMS: Scientific Computing and Mathematics at the University of Michigan [NSF DMS 1026317]
  2. University of Michigan

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GaAsBi is of great interest for applications in high efficiency optoelectronic devices due to its highly tunable bandgap. However, the experimental growth of high Bi content films has proven difficult. Here, we model GaAsBi film growth using a kinetic Monte Carlo simulation that explicitly takes cation and anion reactions into account. The unique behavior of Bi droplets is explored, and a sharp decrease in Bi content upon Bi droplet formation is demonstrated. The high mobility of simulated Bi droplets on GaAsBi surfaces is shown to produce phase separated Ga-Bi droplets as well as depressions on the film surface. A phase diagram for a range of growth rates that predicts both Bi content and droplet formation is presented to guide the experimental growth of high Bi content GaAsBi films. Published by AIP Publishing.

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