Optimization of graphene-based quantum Hall arrays for recursive star-mesh transformations

ORAL

Abstract

A mathematical approach is adopted for optimizing the number of total device elements required for obtaining high effective quantized resistances in graphene-based quantum Hall array devices. This work explores an analytical extension to the use of star-mesh transformations such that fractal-like, or recursive, device designs can yield high enough resistances (like 1 EΩ, arguably the highest resistance with meaningful applicability) while still being feasible to build with modern fabrication techniques. Epitaxial graphene elements are tested, whose quantized Hall resistance at the v=2<!--[if gte msEquation 12]> style='mso-bidi-font-style:normal'>ν=2 plateau (about 12906.4 Ω) becomes the building block for larger effective, quantized resistances. It is demonstrated that, mathematically, one would not need more than 200 elements to achieve the highest pertinent resistances.

Presenters

  • Albert F Rigosi

    • National Institute of Standards and Technology

Authors

  • Albert F Rigosi

    • National Institute of Standards and Technology
  • Dominick S Scaletta

    • Mount San Jacinto Collete
  • Swapnil M Mhatre

    • NIST
  • Ngoc Thanh Mai Tran

    • University of Maryland, College Park
  • Cheng-hsueh Yang

    • National Taiwan University
  • Heather M Hill

    • National Institute of Standards and Technology
  • Yanfei Yang

    • Graphene Waves
  • Linli Meng

    • Graphene Waves
  • Alireza R Panna

    • NIST
    • National Institute of Standards and Technology
  • Shamith Payagala

    • NIST
    • National Institute of Standard and Technology
  • Randolph E Elmquist

    • National Institute of Standards and Technology
  • Dean G Jarrett

    • NIST
    • National Institute of Standards and Technology
  • David B Newell

    • National Institute of Standards and Technology