Graphene Heterostructure-Based Non-Volatile Memory Devices with Top Floating Gate Programming

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Rodrigues, Gabriel L., Yoshida, Ana B., Selmi, Guilherme S., de Jesus, Nickolas T. K. B, Ricardo, Igor, Watanabe, Kenji, Taniguchi, Takashi, de Oliveira, Rafael F., Lopez-Richard, Victor, Cadore, Alisson R.
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866913936647913472
author Rodrigues, Gabriel L.
Yoshida, Ana B.
Selmi, Guilherme S.
de Jesus, Nickolas T. K. B
Ricardo, Igor
Watanabe, Kenji
Taniguchi, Takashi
de Oliveira, Rafael F.
Lopez-Richard, Victor
Cadore, Alisson R.
author_facet Rodrigues, Gabriel L.
Yoshida, Ana B.
Selmi, Guilherme S.
de Jesus, Nickolas T. K. B
Ricardo, Igor
Watanabe, Kenji
Taniguchi, Takashi
de Oliveira, Rafael F.
Lopez-Richard, Victor
Cadore, Alisson R.
contents We present a graphene-based memory platform built on dual-gated field-effect transistors (GFETs). By integrating a lithographically defined metal patch directly atop the hexagonal boron nitride (hBN)-graphene channel, the device functions simultaneously as a top gate, floating gate (FG) reservoir, and active reset contact. This architecture forms an ultrathin van der Waals heterostructure with strong capacitive coupling to the back-gate, confirmed by a dynamic model, enabling a tunable and wide memory window that scales with back-gate voltage and is further enhanced by reducing hBN thickness or increasing FG area. Our devices demonstrate reversible, high-efficiency charge programming, robust non-volatile behavior across 10 to 300 K and a wide range of operation speeds, and endurance beyond 9800 cycles. Importantly, a grounded top electrode provides on-demand charge erasure, offering functionality that is absent in standard FG designs. These results position hBN/graphene-based GFETs as a compact, energy-efficient platform for next-generation 2D flash memory, with implications for multilevel memory schemes and cryogenic electronics.
format Preprint
id arxiv_https___arxiv_org_abs_2507_07897
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Graphene Heterostructure-Based Non-Volatile Memory Devices with Top Floating Gate Programming
Rodrigues, Gabriel L.
Yoshida, Ana B.
Selmi, Guilherme S.
de Jesus, Nickolas T. K. B
Ricardo, Igor
Watanabe, Kenji
Taniguchi, Takashi
de Oliveira, Rafael F.
Lopez-Richard, Victor
Cadore, Alisson R.
Applied Physics
Mesoscale and Nanoscale Physics
We present a graphene-based memory platform built on dual-gated field-effect transistors (GFETs). By integrating a lithographically defined metal patch directly atop the hexagonal boron nitride (hBN)-graphene channel, the device functions simultaneously as a top gate, floating gate (FG) reservoir, and active reset contact. This architecture forms an ultrathin van der Waals heterostructure with strong capacitive coupling to the back-gate, confirmed by a dynamic model, enabling a tunable and wide memory window that scales with back-gate voltage and is further enhanced by reducing hBN thickness or increasing FG area. Our devices demonstrate reversible, high-efficiency charge programming, robust non-volatile behavior across 10 to 300 K and a wide range of operation speeds, and endurance beyond 9800 cycles. Importantly, a grounded top electrode provides on-demand charge erasure, offering functionality that is absent in standard FG designs. These results position hBN/graphene-based GFETs as a compact, energy-efficient platform for next-generation 2D flash memory, with implications for multilevel memory schemes and cryogenic electronics.
title Graphene Heterostructure-Based Non-Volatile Memory Devices with Top Floating Gate Programming
topic Applied Physics
Mesoscale and Nanoscale Physics
url https://arxiv.org/abs/2507.07897