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Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy

Materials Science 2024-08-14 v4 Applied Physics

Abstract

The growth of high-composition GeSn films of the future will likely be guided via algorithms. In this study we show how a logarithmic-based algorithm can be used to obtain high-quality GeSn compositions up to 16 % on GaAs (001) substrates via molecular beam epitaxy. Within we demonstrate composition targeting and logarithmic gradients to achieve linearly graded pseudomorph Ge1-xSnx compositions up to 10 % before partial relaxation of the structure and a continued gradient up to 16 % GeSn. In this report, we use X-ray diffraction, simulation, SIMS and atomic force microscopy to analyze and demonstrate some of the possible growths that can be produced with the enclosed algorithm. This methodology of growth is a major step forward in the field of GeSn development and the first demonstration of algorithmically driven, linearly graded GeSn films.

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Cite

@article{arxiv.2309.06695,
  title  = {Algorithm-Based Linearly Graded Compositions of GeSn on GaAs (001) via Molecular Beam Epitaxy},
  author = {Calbi Gunder and Mohammad Zamani Alavijeh and Emmanuel Wangila and Fernando Maia de Oliveira and Aida Sheibani and Serhii Kryvyi and Paul C. Attwood and Yuriy I. Mazur and Shui-Qing Yu and Gregory J. Salamo},
  journal= {arXiv preprint arXiv:2309.06695},
  year   = {2024}
}

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