Effect of Jumping Energy Coefficient on Armchair-Type Graphene Energy Gap

This work examines the electronic band structure of bilayer armchair-type graphene nanoribbons arranged in the AB stacking pattern. The investigation is conducted using the long-wave generalised effective Hamiltonian and the tight approximation method. This investigation involved calculating the energy gap values for various electron hopping energy levels between two layers. Additionally, the widths were varied from N = 1 to N = 10, with increments of 5 until reaching N = 50. An evident correlation was detected between the electron hopping energies and the energy gap and width of the nanoribbon. Specifically, as the electron hopping energy dropped, both the energy gap and the breadth of the nanoribbon increased. The nanoscale had a non-uniform impact on the energy gap values, unlike the abrupt change in energy caused by certain boundary conditions when solving the Schrödinger equation around the Dirac points K in the Fermi plane. At certain values, the material exhibits metallic behaviour, while at others it acts as a semiconductor. Hence, this study provides valuable insights into the properties of graphene. Theoretical confirmation suggests that the energy gap can be manipulated by adjusting the hopping energies of electrons between two layers of armchair-type graphene nanoribbons with a specific stacking pattern (AB-AB). Additionally, the width of the nanoribbon also influences this effect.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17132494
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of Jumping Energy Coefficient on Armchair-Type Graphene Energy Gap

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Effect of Jumping Energy Coefficient on Armchair-Type Graphene Energy Gap

article en

Abstract

This work examines the electronic band structure of bilayer armchair-type graphene nanoribbons arranged in the AB stacking pattern. The investigation is conducted using the long-wave generalised effective Hamiltonian and the tight approximation method. This investigation involved calculating the energy gap values for various electron hopping energy levels between two layers. Additionally, the widths were varied from N = 1 to N = 10, with increments of 5 until reaching N = 50. An evident correlation was detected between the electron hopping energies and the energy gap and width of the nanoribbon. Specifically, as the electron hopping energy dropped, both the energy gap and the breadth of the nanoribbon increased. The nanoscale had a non-uniform impact on the energy gap values, unlike the abrupt change in energy caused by certain boundary conditions when solving the Schrödinger equation around the Dirac points K in the Fermi plane. At certain values, the material exhibits metallic behaviour, while at others it acts as a semiconductor. Hence, this study provides valuable insights into the properties of graphene. Theoretical confirmation suggests that the energy gap can be manipulated by adjusting the hopping energies of electrons between two layers of armchair-type graphene nanoribbons with a specific stacking pattern (AB-AB). Additionally, the width of the nanoribbon also influences this effect.

Zenodo (CERN European Organization for Nuclear Research)
Al-Muthanna University (IQ)
Affordable and clean energy
Openalex Percentile: Top 40%
Geochemistry and Geologic Mapping
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.