Dual‐Input Two‐Dimensional Floating‐Gate Memory With Intrinsic Stochasticity for Secure Information Processing

ABSTRACT 2D materials have enabled diverse electronic and optoelectronic devices, yet intrinsic stochastic behaviors are commonly regarded as detrimental to device reliability and controllability. Here, we demonstrate a dual‐input 2D floating‐gate memory that deliberately harnesses intrinsic stochastic optoelectronic responses as a functional degree of freedom for secure information processing. By integrating electrical gating and optical excitation within a Bi 2 O 2 S/h‐BN/graphene heterostructure, the floating‐gate device simultaneously achieves non‐volatility, multilevel programmability, and reconfigurable device‐intrinsic stochastic conductance responses. The memory exhibits a high on/off current ratio (>10 6 ), a wide memory window (83.4%), long retention (10 4 s), and robust endurance (>2000 cycles), enabling stable hardware‐level extraction of physical features. As a representative application, the stochastic optoelectronic features are combined with standard cryptographic primitives to realize reversible text and image encryption with pronounced diffusion and avalanche characteristics, while session‐level freshness is naturally supported to mitigate replay attacks and key reuse. Beyond cryptography, this work establishes a materials‐enabled strategy for transforming intrinsic stochasticity in 2D floating‐gate devices from an undesired effect into a useful functionality, opening new opportunities for multifunctional memory and secure information processing architectures.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-10-31
DOI
https://doi.org/10.1002/smll.76292
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual‐Input Two‐Dimensional Floating‐Gate Memory With Intrinsic Stochasticity for Secure Information Processing

He Xu, Qiankun Ju, Hui Wang, Wei Liu et al.
Small
2D Materials and Applications
article

Dual‐Input Two‐Dimensional Floating‐Gate Memory With Intrinsic Stochasticity for Secure Information Processing

He Xu, Qiankun Ju, Hui Wang, Wei Liu, Fapeng Sun, Jiashuai Yuan, Yubo Liu, Bicheng Wang, Wenting Hong, Qian Cai, Xiaohang Zheng, Zhipeng Fu
article en

Abstract

ABSTRACT 2D materials have enabled diverse electronic and optoelectronic devices, yet intrinsic stochastic behaviors are commonly regarded as detrimental to device reliability and controllability. Here, we demonstrate a dual‐input 2D floating‐gate memory that deliberately harnesses intrinsic stochastic optoelectronic responses as a functional degree of freedom for secure information processing. By integrating electrical gating and optical excitation within a Bi 2 O 2 S/h‐BN/graphene heterostructure, the floating‐gate device simultaneously achieves non‐volatility, multilevel programmability, and reconfigurable device‐intrinsic stochastic conductance responses. The memory exhibits a high on/off current ratio (>10 6 ), a wide memory window (83.4%), long retention (10 4 s), and robust endurance (>2000 cycles), enabling stable hardware‐level extraction of physical features. As a representative application, the stochastic optoelectronic features are combined with standard cryptographic primitives to realize reversible text and image encryption with pronounced diffusion and avalanche characteristics, while session‐level freshness is naturally supported to mitigate replay attacks and key reuse. Beyond cryptography, this work establishes a materials‐enabled strategy for transforming intrinsic stochasticity in 2D floating‐gate devices from an undesired effect into a useful functionality, opening new opportunities for multifunctional memory and secure information processing architectures.

Small
Chinese Academy of Sciences (CN), Fujian Institute of Research on the Structure of Matter (CN), University of Chinese Academy of Sciences (CN), Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China (CN)
Openalex Percentile: Top 29%
2D Materials 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