Tunneling Energy and Capacitance of Twist-Controlled Graphene Double Layers Separated by Boron Nitride Barriers

We investigate dual-gated double-monolayer graphene heterostructures, consisting of two twist-controlled graphene layers separated by atomically thin hexagonal boron nitride (hBN) tunnel barriers with various thicknesses, to determine the interlayer tunneling energy and capacitance of the hBN barriers. Because the two graphene layers' crystal axes are twist-aligned throughout fabrication, we observe energy and momentum conserving resonant tunneling characterized by gate-tunable negative differential resistance. We analyze the experimental data using a single-particle tunneling model and extract interlayer tunneling energy and capacitance as a function of the barrier thicknesses.

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Publication Details

Journal
Nano Letters
Published
2025-12-01
DOI
https://doi.org/10.1021/acs.nanolett.5c03773
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
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article

Tunneling Energy and Capacitance of Twist-Controlled Graphene Double Layers Separated by Boron Nitride Barriers

Kenneth Lin, G. William Burg, Takashi Taniguchi, Kenji Watanabe et al.
Nano Letters
Graphene research and applications
article

Tunneling Energy and Capacitance of Twist-Controlled Graphene Double Layers Separated by Boron Nitride Barriers

Kenneth Lin, G. William Burg, Takashi Taniguchi, Kenji Watanabe, Nitin Prasad, Leonard F. Register, Emanuel Tutuc, Brooke Ramey
article en

Abstract

We investigate dual-gated double-monolayer graphene heterostructures, consisting of two twist-controlled graphene layers separated by atomically thin hexagonal boron nitride (hBN) tunnel barriers with various thicknesses, to determine the interlayer tunneling energy and capacitance of the hBN barriers. Because the two graphene layers' crystal axes are twist-aligned throughout fabrication, we observe energy and momentum conserving resonant tunneling characterized by gate-tunable negative differential resistance. We analyze the experimental data using a single-particle tunneling model and extract interlayer tunneling energy and capacitance as a function of the barrier thicknesses.

Nano LettersVol. 25(49)
National Institute for Materials Science (JP), The University of Texas at Austin (US)
Openalex Percentile: Top 69%
Graphene research and applications
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Tunneling Energy and Capacitance of Twist-Controlled Graphene Double Layers Separated by Boron Nitride Barriers — Kenneth Lin, G. William Burg, et al. · Nano Letters (2025) | TGRS Research Map | TGRS