Application of Full-Potential DFT Method Based on Multiple Scattering Theory on Group IV Alloys

ORAL

Abstract

The cubic diamond Group IV Si-Ge, Se-Ge-Sn alloys have been a topic of intense research since their inception due to a plethora of applications including logic circuits, cell phones, global positioning systems (GPS), wireless communications (WiFi), optoelectronic devices, and so on. Though extensively studied, it is still challenging to experimentally synthesize Si-Ge-Sn alloy, particularly with high concentrations of Sn and henceforward further computational investigations on this material can greatly facilitate such experimental discovery. In this work, we apply the full potential multiple scattering theory KKR, KKR LSMS, and KKR CPA methods to these Group-IV alloys. Our computed structural and electronic properties are in good agreement with experimental observations and the results obtained from the pseudopotential calculations. We also investigate the possibility of short-range ordering on this Si-Ge-Sn ternary alloy and its effect on engineering material properties. Our work establishes the multiple scattering theory (MuST) open-source code MuST(https://github.com/mstsuite/MuST) for semiconducting materials for the first time.

* This work is based on the open-source ab initio software package MuST, a project supported in part by NSF Office of Advanced Cyberinfrastructure and the Division of Materials Research within the NSF Directorate of Mathematical and Physical Sciences under Award Nos. 1944974 (HT, WM), 1931367 (HT), 1931445 (KT), and 1931525 (YW). This research used resources of the Oak Ridge Leadership Computing Facility, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725 (ME).

Presenters

  • Wasim R Mondal

    Middle Tennessee State University

Authors

  • Wasim R Mondal

    Middle Tennessee State University

  • Swarnava Ghosh

    Oak Ridge National Laboratory, Oak Ridge National Laboratory (ORNL)

  • Ka Ming Tam

    Louisiana State University

  • Markus Eisenbach

    Oak Ridge National Laboratory

  • Yang Wang

    Pittsburgh Supercomput Ctr

  • Hanna Terletska

    Middle Tennessee State University