Manipulating Superlattice Potentials and Quantum Confinement in Graphene via Moiré Ferroelectricity

Two-dimensional (2D) moiré ferroelectricity has recently garnered significant attention as a bottom-up approach to realizing ferroelectrics via van der Waals assembly. Besides the interesting ferroelectricity, the periodic electric fields of 2D ferroelectricity offer unprecedented opportunities to modulate the electronic properties of adjacent 2D materials. However, direct local characterization of this effect, essential for a deep understanding and application of the moiré ferroelectricity, is still lacking. Here, we utilize twisted hexagonal boron nitride (t-hBN) as a moiré ferroelectric substrate to tune the electrical properties of its overlying graphene. Using scanning tunneling microscopy (STM), we demonstrate with nanoscale spatial resolution that the t-hBN moiré ferroelectricity generates periodic potential in graphene to confine massless Dirac fermions. Our experiment further indicates that we can reversibly alter the ferroelectric polarizations around the t-hBN moiré boundaries via the STM tip. This tunability of adjacent material properties opens new avenues for advanced heterostructures and devices based on 2D moiré ferroelectricity.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2025-07-16
DOI
https://doi.org/10.1021/acs.nanolett.5c01976
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Manipulating Superlattice Potentials and Quantum Confinement in Graphene via Moiré Ferroelectricity

Ke Lv, Takashi Taniguchi, Kenji Watanabe, Lin He et al.
Nano Letters
Graphene research and applications
article

Manipulating Superlattice Potentials and Quantum Confinement in Graphene via Moiré Ferroelectricity

Ke Lv, Takashi Taniguchi, Kenji Watanabe, Lin He, Chao Yan, Ya-Ning Ren, Jiaqi He, Zihan Guo
article en

Abstract

Two-dimensional (2D) moiré ferroelectricity has recently garnered significant attention as a bottom-up approach to realizing ferroelectrics via van der Waals assembly. Besides the interesting ferroelectricity, the periodic electric fields of 2D ferroelectricity offer unprecedented opportunities to modulate the electronic properties of adjacent 2D materials. However, direct local characterization of this effect, essential for a deep understanding and application of the moiré ferroelectricity, is still lacking. Here, we utilize twisted hexagonal boron nitride (t-hBN) as a moiré ferroelectric substrate to tune the electrical properties of its overlying graphene. Using scanning tunneling microscopy (STM), we demonstrate with nanoscale spatial resolution that the t-hBN moiré ferroelectricity generates periodic potential in graphene to confine massless Dirac fermions. Our experiment further indicates that we can reversibly alter the ferroelectric polarizations around the t-hBN moiré boundaries via the STM tip. This tunability of adjacent material properties opens new avenues for advanced heterostructures and devices based on 2D moiré ferroelectricity.

Nano LettersVol. 25(30)
National Institute for Materials Science (JP), Beijing Normal University (CN), Quantum Technologies (Sweden) (SE), Optica (US)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Postdoctoral Program for Innovative Talents, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 88%
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.