Defect-Driven Tunneling Mechanisms in Graphene/hBN Van der Waals Heterostructures

Abstract Graphene, a single layer of carbon atoms, boasts remarkable electrical conductivity despite its one-atom thickness. When stacked with hexagonal boron nitride (hBN), an insulating two-dimensional material, it forms van der Waals (vdW) heterostructures, ideal for compact, high-efficiency tunnel transistors. This study investigates how defects in the hBN layer facilitate electron tunneling, a quantum process critical for transistor operation. Using density functional theory (DFT) implemented in Quantum ESPRESSO, we modeled five defect types in a graphene/hBN/graphene heterostructure: nitrogen vacancies, boron vacancies, carbon substitutions, oxygen substitutions, and nitrogen antisites. Our simulations show that nitrogen vacancies, with a formation energy of 2.05 eV, introduce localized electronic states at 0.42 eV above the hBN valence band, significantly enhancing tunneling probability. These states, positioned near the graphene Fermi level, act as efficient pathways for single-electron tunneling, as quantified by the Wentzel-Kramers-Brillouin approximation. Other defects, such as oxygen substitutions, produce deeper bandgap states, reducing their tunneling efficiency. The low formation energy of nitrogen vacancies suggests they are prevalent in synthesized hBN, making them practical targets for defect engineering. These findings offer valuable insights for optimizing graphene-based tunnel transistors, enabling the design of faster, more efficient nanoelectronic devices.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17199075
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defect-Driven Tunneling Mechanisms in Graphene/hBN Van der Waals Heterostructures

Zenodo (CERN European Organization for Nuclear Research)
Image Processing and 3D Reconstruction
article

Defect-Driven Tunneling Mechanisms in Graphene/hBN Van der Waals Heterostructures

article en

Abstract

Abstract Graphene, a single layer of carbon atoms, boasts remarkable electrical conductivity despite its one-atom thickness. When stacked with hexagonal boron nitride (hBN), an insulating two-dimensional material, it forms van der Waals (vdW) heterostructures, ideal for compact, high-efficiency tunnel transistors. This study investigates how defects in the hBN layer facilitate electron tunneling, a quantum process critical for transistor operation. Using density functional theory (DFT) implemented in Quantum ESPRESSO, we modeled five defect types in a graphene/hBN/graphene heterostructure: nitrogen vacancies, boron vacancies, carbon substitutions, oxygen substitutions, and nitrogen antisites. Our simulations show that nitrogen vacancies, with a formation energy of 2.05 eV, introduce localized electronic states at 0.42 eV above the hBN valence band, significantly enhancing tunneling probability. These states, positioned near the graphene Fermi level, act as efficient pathways for single-electron tunneling, as quantified by the Wentzel-Kramers-Brillouin approximation. Other defects, such as oxygen substitutions, produce deeper bandgap states, reducing their tunneling efficiency. The low formation energy of nitrogen vacancies suggests they are prevalent in synthesized hBN, making them practical targets for defect engineering. These findings offer valuable insights for optimizing graphene-based tunnel transistors, enabling the design of faster, more efficient nanoelectronic devices.

Zenodo (CERN European Organization for Nuclear Research)
Lalit Narayan Mithila University (IN)
Affordable and clean energy
Openalex Percentile: Top 46%
Image Processing and 3D Reconstruction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Defect-Driven Tunneling Mechanisms in Graphene/hBN Van der Waals Heterostructures · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS