Ultra-narrow-gate single-electron transistors based on crossed graphene nanoribbons

Abstract Graphene nanoribbons (GNRs) are promising candidates for next-generation nanoelectronics owing to their width-dependent bandgaps and high carrier mobility. However, integrating ultra-narrow GNRs into well-defined device architectures with local electrostatic control remains challenging. Here, we demonstrate a dual-gate single-electron transistor (SET) device consisting of two spatially isolated, in-situ encapsulated GNRs grown within hexagonal boron nitride (hBN) flakes, where one GNR serves as the transport channel and the other as an ultra-narrow local top gate, enabling nanoscale electrostatic modulation. Room-temperature transport measurements show that the GNR channel operates as a field-effect transistor with an on/off ratio of ${\sim} 2 \times 10^{3}$ ∼ 2 × 10 3 and a subthreshold swing of 150 mV⋅dec −1 under back-gate control, while the GNR top gate provides comparable electrostatic control despite its much shorter gate length, validating its role as an efficient local gate. At 15 K, the device exhibits clear single-electron transport characteristics, including periodic Coulomb blockade (CB) oscillations and gate-tunable Coulomb diamonds. Upon tuning the gate voltages, the transport behavior evolves continuously from Coulomb blockade to Fabry–Pérot interference, revealing a crossover from localized charge transport to coherent interference governed by the locally modulated potential landscape. Our results establish in-situ encapsulated GNRs as a promising platform for carbon-based nanoelectronics and for exploring one-dimensional quantum transport in locally gated nanostructures.

Authors

Publication Details

Journal
Quantum Frontiers
Published
2026-11-12
DOI
https://doi.org/10.1007/s44214-026-00112-z
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Ultra-narrow-gate single-electron transistors based on crossed graphene nanoribbons

Zhiwen Shi, Takashi Taniguchi, Zhenjie Chen, Chengjia Zhang et al.
Quantum Frontiers
Graphene research and applications
article

Ultra-narrow-gate single-electron transistors based on crossed graphene nanoribbons

Zhiwen Shi, Takashi Taniguchi, Zhenjie Chen, Chengjia Zhang, Guibai Xie, Zhenghan Wu, Kenji Watanabe, Yi Chen, Liguo Wang
article en

Abstract

Abstract Graphene nanoribbons (GNRs) are promising candidates for next-generation nanoelectronics owing to their width-dependent bandgaps and high carrier mobility. However, integrating ultra-narrow GNRs into well-defined device architectures with local electrostatic control remains challenging. Here, we demonstrate a dual-gate single-electron transistor (SET) device consisting of two spatially isolated, in-situ encapsulated GNRs grown within hexagonal boron nitride (hBN) flakes, where one GNR serves as the transport channel and the other as an ultra-narrow local top gate, enabling nanoscale electrostatic modulation. Room-temperature transport measurements show that the GNR channel operates as a field-effect transistor with an on/off ratio of ${\sim} 2 \times 10^{3}$ ∼ 2 × 10 3 and a subthreshold swing of 150 mV⋅dec −1 under back-gate control, while the GNR top gate provides comparable electrostatic control despite its much shorter gate length, validating its role as an efficient local gate. At 15 K, the device exhibits clear single-electron transport characteristics, including periodic Coulomb blockade (CB) oscillations and gate-tunable Coulomb diamonds. Upon tuning the gate voltages, the transport behavior evolves continuously from Coulomb blockade to Fabry–Pérot interference, revealing a crossover from localized charge transport to coherent interference governed by the locally modulated potential landscape. Our results establish in-situ encapsulated GNRs as a promising platform for carbon-based nanoelectronics and for exploring one-dimensional quantum transport in locally gated nanostructures.

Quantum FrontiersVol. 5(1)
Graphene research and applications
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.

Laika access coming soon