Conductance Peak Density in Nanowires

TL;DR

This paper combines numerical calculations and experimental data analysis to evaluate conductance fluctuations in nanowires, demonstrating an efficient method to determine phase-coherence length applicable across various nanostructures.

Contribution

It applies and validates the conductance peak density model as an effective alternative to correlation methods for measuring phase-coherence length in nanowires.

Findings

Successfully applied the peak density model to InAs nanowires.

Proved the model's equivalence with correlation methods.

Highlighted the method's applicability to other nanostructures.

Abstract

We present a complete numerical calculation and an experimental data analysis of the universal conductance fluctuations in quasi-one-dimension nanowires. The conductance peak density model, introduced in nanodevice research on [Phys. Rev. Lett. 107, 176807 (2011)], is applied successfully to obtain the coherence length of InAs nanowire magnetoconductance and we prove its equivalence with correlation methods. We show the efficiency of the method and therefore a prominent alternative to obtain the phase-coherence length. The peak density model can be similarly applied to spintronic setups, graphene and topological isolator where phase-coherence length is a relevant experimental parameter.