Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene
Year: 2026
Type: article
Abstract: ABSTRACT Flexoelectricity, defined as polarization induced by strain gradients, is especially pronounced in two‐dimensional (2D) materials due to their mechanical flexibility and sensitivity to deformation. In nanostructures with nanometer‐scale curvature, bending can perturb out‐of‐plane π orbitals and generate quantum‐mechanical polarization and electrostatic modulation beyond classical lattice distortion alone. Here, we combine scanning probe measurements and first‐principles calculations to provide experimental and theoretical evidence for large intrinsic quantum orbital flexoelectricity in graphene nanowrinkles (GNWrs) with estimated polarization densities of P th ∼ 4 C m −2 and P exp ∼ 1 C m −2 , exceeding those of mesoscale systems by 5 to 7 orders of magnitude. These GNWrs exhibit high apex curvature, undergo atomic‐level buckling, and produce localized strain fields, as supported by atomic force microscopy analysis and Raman spectroscopy. Kelvin probe force microscopy reveals curvature‐dependent work‐function shifts, while conductive atomic force microscopy detects reproducible GNWr‐associated currents with a threshold voltage ( Φ th ∼ 1 V) comparable to the band offset predicted by ab initio calculations (∼ 1.2 V). These results support an interpretation in which curvature‐induced flexoelectric dipoles reshape the local electronic potential. GNWrs therefore provide a structurally simple carbon‐based platform for probing quantum‐mechanical flexoelectricity.
Source: Advanced Materials
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $6,070
Funder: National Science Foundation
Awards: NRT: Training Scientists to Solve Biofilm Challenges Using Artificial Intelligence and Smart Materials, RII Track-1: Building on The 2020 Vision: Expanding Research, Education and Innovation in South Dakota, Collaborative Research: RII FEC: Advancing Quality and Climate-Resilient Water Management with Community Partnerships and Enhanced Sensor Network
OpenAlex ID: W7171145271
