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University of Illinois at Urbana-Champaign

An efficient computational framework for prediction of corrugation in twisted bilayer graphene

Abstract

dc:description

"The discovery of unconventional superconductivity at a specific ""magic"" angle in twisted bilayer graphene (TBG) has stirred a lot of interest in the scientific community. When two graphene layers are placed on top of each other with a twist, a moir\'e pattern emerges. By controlling the period of the moir\'e in twisted bilayer graphene, we can tune the properties of TBG. Specifically, long periods of moir\'e in bilayer graphene have shown remarkable electronic properties. However, materials with large moir\'e periods are often difficult to study because of the expensive computational framework of electronic structure. Therefore, we develop a simple computational framework that can predict the corrugated structure of TBG of large periods in a computationally tractable way. From our density functional theory (DFT) simulations, we find that the structure of TBG becomes corrugated upon relaxation due to the change of interlayer distances in different stacking regions. The corrugation increases with decreasing twist angle in the TBG. Moreover, we also find that the AA region in the TBG shrinks and the AB region becomes larger at low twist angles (less than 1.5\circ). Our framework is able to capture this phenomenon of shrinking of the AA region and map the corrugation for low twist angles with precision. With our framework, it would be possible to map the atomic coordinates of the corrugated structure of TBG which can help us to study different properties of low twist angle TBG more accurately. In this way, this framework may open the door to more tunable exotic properties in twisted bilayer graphene."

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rakib, Tawfiqur
Contributors dc:contributor
  • Johnson, Harley T.
  • Ertekin, Elif T

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • © 2020 Tawfiqur Rakib
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/110400
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/110400

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rakib, Tawfiqur. An efficient computational framework for prediction of corrugation in twisted bilayer graphene. Thesis thesis, University of Illinois at Urbana-Champaign, 2021. http://hdl.handle.net/2142/110400