Mechanism governing electronic charge rearrangements in random alloys

ORAL

Abstract

Recent work [1] has computationally investigated the statistics of internal charge distribution and transfers in metallic high entropy alloys using various first-principle approaches. It demonstrated that fluctuating internal electrostatic (“Madelung”) potentials arise generically in random alloys, due to the random environments characterizing any given lattice site. In this work, we establish the physical mechanism governing the statistics of these fluctuations, by analytically formulating an appropriate self-consistent screening theory for random system. Our theory is based on perturbative approaches to disorder, as appropriate for metallic alloys. It suggests a path to formulate an appropriate extension of standard KKR-CPA methods, which is capable of capturing the fluctuations of the internal Madelung potentials, thus providing a computationally cheap yet accurate first-principle description of high entropy alloys.

[1] M. Karabin et al., J. Mater. Sci. 57, 10677-10690 (2022).

*This work is based on 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. 1931367, 1931445, and 1931525. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Presenters

  • Wai-Ga D Ho

    • Florida State University

Authors

  • Wai-Ga D Ho

    • Florida State University
  • Mariia Karabin

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory
  • Yang Wang

    • Carnegie Mellon University
    • Pittsburgh Supercomput Ctr
    • Pittsburgh Supercomputing Center
  • Markus Eisenbach

    • Oak Ridge National Laboratory
  • George M Stocks

    • Oak Ridge National Laboratory
  • Xianglin Liu

    • Oak Ridge National Laboratory
  • Wasim R Mondal

    • Middle Tennessee State University
  • Hanna Terletska

    • Middle Tennessee State University
  • Ka-Ming Tam

    • Louisiana State University
  • Liviu Chioncel

    • University of Augsburg
  • Vladimir Dobrosavljevic

    • Florida State University