Optoelectronic Synergy and Multimodal Neuromorphic Computing in SnS 2 /h‐BN/NbOCl 2 Van Der Waals Floating Gate Architecture

ABSTRACT The kinetic basis by which a single charge‐storage layer supports both short‐term plasticity (STP) and persistent long‐term plasticity (LTP) remains unresolved. Using a SnS 2 /h‐BN/NbOCl 2 van der Waals floating‐gate architecture, we provide three complementary lines of evidence. Removing NbOCl 2 reduces the memory window from 92.2 to ∼2 V, identifying NbOCl 2 as the dominant charge‐storage medium. Variable‐temperature post‐stimulus relaxation (310–330 K), analyzed by biexponential fitting and Arrhenius regression, resolves two kinetically distinct components: a weakly activated component (WAC, E a,1 ≈ 0.026 eV) with fast relaxation, consistent with transient STP conductance modulation, and a thermally activated component (TAC, E a,2 ≈ 0.111 eV) with much slower relaxation, consistent with persistent LTP retention. Their approximately 4‐fold effective activation‐energy difference provides quantitative kinetic evidence for two distinct temperature‐dependent relaxation behaviors associated with the same NbOCl 2 layer. Sigmoidal fitting of the memory index yields a crossover power density P c = 26.49 µW/cm 2 , separating a predominantly volatile response at P < P c (Path A) from a larger persistent contribution at P > P c (Path B). Transient electrostatic screening and tunneling‐assisted charge neutralization are proposed as the underlying processes. The device achieves 92.81% MNIST and 93.2% spoken‐digit recognition accuracy, demonstrating promise for multimodal neuromorphic computation.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-10-15
DOI
https://doi.org/10.1002/adfm.79066
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Optoelectronic Synergy and Multimodal Neuromorphic Computing in SnS 2 /h‐BN/NbOCl 2 Van Der Waals Floating Gate Architecture

Zunfa Wang, Hua Xu, Man Jiang, Yuhang Jia et al.
Advanced Functional Materials
Advanced Memory and Neural Computing
article

Optoelectronic Synergy and Multimodal Neuromorphic Computing in SnS 2 /h‐BN/NbOCl 2 Van Der Waals Floating Gate Architecture

Zunfa Wang, Hua Xu, Man Jiang, Yuhang Jia, Yingli Zhang, Boxiang Lan, Longxiang Li, XinXin Zhang, ZiWen Wang, WenCong Zhang
article en

Abstract

ABSTRACT The kinetic basis by which a single charge‐storage layer supports both short‐term plasticity (STP) and persistent long‐term plasticity (LTP) remains unresolved. Using a SnS 2 /h‐BN/NbOCl 2 van der Waals floating‐gate architecture, we provide three complementary lines of evidence. Removing NbOCl 2 reduces the memory window from 92.2 to ∼2 V, identifying NbOCl 2 as the dominant charge‐storage medium. Variable‐temperature post‐stimulus relaxation (310–330 K), analyzed by biexponential fitting and Arrhenius regression, resolves two kinetically distinct components: a weakly activated component (WAC, E a,1 ≈ 0.026 eV) with fast relaxation, consistent with transient STP conductance modulation, and a thermally activated component (TAC, E a,2 ≈ 0.111 eV) with much slower relaxation, consistent with persistent LTP retention. Their approximately 4‐fold effective activation‐energy difference provides quantitative kinetic evidence for two distinct temperature‐dependent relaxation behaviors associated with the same NbOCl 2 layer. Sigmoidal fitting of the memory index yields a crossover power density P c = 26.49 µW/cm 2 , separating a predominantly volatile response at P < P c (Path A) from a larger persistent contribution at P > P c (Path B). Transient electrostatic screening and tunneling‐assisted charge neutralization are proposed as the underlying processes. The device achieves 92.81% MNIST and 93.2% spoken‐digit recognition accuracy, demonstrating promise for multimodal neuromorphic computation.

Advanced Functional Materials
Shaanxi Normal University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 24%
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.