Understanding disorder in monolayer graphene devices with gate-defined superlattices

Engineering superlattices (SLs)-which are spatially periodic potential landscapes for electrons-is an emerging approach for the realization of exotic properties, including superconductivity and correlated insulators, in two-dimensional materials. While moiré SL engineering has been a popular approach, nanopatterning is an attractive alternative offering control over the pattern and wavelength of the SL. However, the disorder arising in the system due to imperfect nanopatterning is seldom studied. Here, by creating a square lattice of nanoholes in the SiO<sub>2</sub>dielectric layer using nanolithography, we study the SL potential and the disorder formed in hBN-graphene-hBN heterostructures. Specifically, we observe that while electrical transport shows distinct SL satellite peaks, the disorder of the device is significantly higher than graphene devices without any SL. We use finite-element simulations combined with a resistor network model to calculate the effects of this disorder on the transport properties of graphene. We consider three types of disorder: nanohole size variations, adjacent nanohole mergers, and nanohole vacancies. Comparing our experimental results with the model, we find that the disorder primarily originates from nanohole size variations rather than nanohole mergers in square SLs. We further confirm the validity of our model by comparing the results with quantum transport simulations. Our findings highlight the applicability of our simple framework to predict and engineer disorder in patterned SLs, specifically correlating variations in the resultant SL patterns to the observed disorder. Our combined experimental and theoretical results could serve as a valuable guide for optimizing nanofabrication processes to engineer disorder in nanopatterned SLs.

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Publication Details

Journal
Nanotechnology
Published
2024-09-09
DOI
https://doi.org/10.1088/1361-6528/ad7853
Citations
4
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.47

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article

Understanding disorder in monolayer graphene devices with gate-defined superlattices

Morteza Kayyalha, Derrick Butler, Asmaul Smitha Rashid, Aida Ebrahimi et al.
4 citations
Nanotechnology
Graphene research and applications
0.47
article

Understanding disorder in monolayer graphene devices with gate-defined superlattices

Morteza Kayyalha, Derrick Butler, Asmaul Smitha Rashid, Aida Ebrahimi, Vinay Kammarchedu
article en
4 citations

Abstract

Engineering superlattices (SLs)-which are spatially periodic potential landscapes for electrons-is an emerging approach for the realization of exotic properties, including superconductivity and correlated insulators, in two-dimensional materials. While moiré SL engineering has been a popular approach, nanopatterning is an attractive alternative offering control over the pattern and wavelength of the SL. However, the disorder arising in the system due to imperfect nanopatterning is seldom studied. Here, by creating a square lattice of nanoholes in the SiO<sub>2</sub>dielectric layer using nanolithography, we study the SL potential and the disorder formed in hBN-graphene-hBN heterostructures. Specifically, we observe that while electrical transport shows distinct SL satellite peaks, the disorder of the device is significantly higher than graphene devices without any SL. We use finite-element simulations combined with a resistor network model to calculate the effects of this disorder on the transport properties of graphene. We consider three types of disorder: nanohole size variations, adjacent nanohole mergers, and nanohole vacancies. Comparing our experimental results with the model, we find that the disorder primarily originates from nanohole size variations rather than nanohole mergers in square SLs. We further confirm the validity of our model by comparing the results with quantum transport simulations. Our findings highlight the applicability of our simple framework to predict and engineer disorder in patterned SLs, specifically correlating variations in the resultant SL patterns to the observed disorder. Our combined experimental and theoretical results could serve as a valuable guide for optimizing nanofabrication processes to engineer disorder in nanopatterned SLs.

NanotechnologyVol. 35(49)
Pennsylvania State University (US)
National Science Foundation, University of Pennsylvania, Pennsylvania State University, National Institutes of Health, Materials Research Science and Engineering Center, Harvard University, Institute for Computational and Data Sciences, Pennsylvania State University, Division of Materials Research, Division of Electrical, Communications and Cyber Systems, Division of Engineering Education and Centers
Openalex Percentile: Top 39%
Graphene research and applications
0.47
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