Frequency as a Clock: Synchronization and Intrinsic Recovery in Graphene Transistor Dynamics

Hysteresis and memory effects in graphene field-effect transistors (GFETs) offer unique opportunities for neuromorphic computing, sensing, and memory applications, yet their physical origins remain debated due to competing volatile and nonvolatile interpretations. Here, we present a unified dynamic model that captures the essential physics of the GFET response under periodic gate modulation, accounting for both intrinsic relaxation processes and externally driven charge transfer. By modeling nonequilibrium carrier dynamics as a competition between injection and reabsorption rates, we uncover two distinct regimes: one governed by intrinsic, frequency-independent relaxation and another exhibiting frequency-locked behavior where the response is tied to the external drive. This distinction resolves apparent nonvolatile effects and explains loop invariance in floating-gate structures via displacement-current-driven charge injection. Our framework predicts the evolution of the hysteresis loop shape, amplitude, and direction across a wide range of driving conditions, offering a versatile tool for interpreting experimental results and guiding the design of next-generation graphene-based electronic systems.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry C
Published
2025-12-19
DOI
https://doi.org/10.1021/acs.jpcc.5c06937
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frequency as a Clock: Synchronization and Intrinsic Recovery in Graphene Transistor Dynamics

Victor Lopez‐Richard, Gabriel Rodrigues, Rafael Furlan de Oliveira, Takashi Taniguchi et al.
The Journal of Physical Chemistry C
Advanced Memory and Neural Computing
article

Frequency as a Clock: Synchronization and Intrinsic Recovery in Graphene Transistor Dynamics

Victor Lopez‐Richard, Gabriel Rodrigues, Rafael Furlan de Oliveira, Takashi Taniguchi, Kenji Watanabe, Alisson R. Cadore, Igor Ricardo Filgueira e Silva
article en

Abstract

Hysteresis and memory effects in graphene field-effect transistors (GFETs) offer unique opportunities for neuromorphic computing, sensing, and memory applications, yet their physical origins remain debated due to competing volatile and nonvolatile interpretations. Here, we present a unified dynamic model that captures the essential physics of the GFET response under periodic gate modulation, accounting for both intrinsic relaxation processes and externally driven charge transfer. By modeling nonequilibrium carrier dynamics as a competition between injection and reabsorption rates, we uncover two distinct regimes: one governed by intrinsic, frequency-independent relaxation and another exhibiting frequency-locked behavior where the response is tied to the external drive. This distinction resolves apparent nonvolatile effects and explains loop invariance in floating-gate structures via displacement-current-driven charge injection. Our framework predicts the evolution of the hysteresis loop shape, amplitude, and direction across a wide range of driving conditions, offering a versatile tool for interpreting experimental results and guiding the design of next-generation graphene-based electronic systems.

The Journal of Physical Chemistry CVol. 130(3)
Universidade Federal de São Carlos (BR), Universidade Estadual de Campinas (UNICAMP) (BR), National Institute for Materials Science (JP), Universidade Federal de Mato Grosso (BR), Instituto de Física La Plata (AR), FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic (CZ), Brazilian Center for Research in Energy and Materials (BR), Laboratório Nacional de Nanotecnologia
Openalex Percentile: Top 58%
Advanced Memory and Neural Computing
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.