Interface Barrier-Modulated Neuromorphic Behavior in Mo/CdIn<sub>2</sub>S<sub>4</sub>/ZnO–Al Structures Based on Metastable Defects

Neuromorphic computing is an increasingly accelerating research field that still faces several hardware challenges, thus driving materials science research. This contribution presents prototype neuromorphic devices based on cadmium–indium sulfide (CdIn2S4). We have found that the compound, previously studied in photocatalysis and photovoltaics, has yet-to-be-explored memristive properties. We manufactured a series of devices with varying stoichiometry and unveiled their switching and neuromorphic behavior. Our measurements indicate that barriers on the CdIn2S4 interfaces and native CdIn2S4 metastable defects control the behavior of the devices. Due to its compelling optoelectronic properties, CdIn2S4 creates vast opportunities to use it as an active layer for optically controlled neuromorphic devices. We propose a disparate switching mechanism based on metastable defects that could be utilized in neuromorphic device technology.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-08-15
DOI
https://doi.org/10.1021/acsaelm.5c00800
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

Funders

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

Interface Barrier-Modulated Neuromorphic Behavior in Mo/CdIn2S4/ZnO–Al Structures Based on Metastable Defects

Nicolas Barreau, P. Zabierowski, Jakub Zdziebłowski
1 citations
ACS Applied Electronic Materials
Advanced Memory and Neural Computing
0.73
article

Interface Barrier-Modulated Neuromorphic Behavior in Mo/CdIn2S4/ZnO–Al Structures Based on Metastable Defects

Nicolas Barreau, P. Zabierowski, Jakub Zdziebłowski
article en
1 citations

Abstract

Neuromorphic computing is an increasingly accelerating research field that still faces several hardware challenges, thus driving materials science research. This contribution presents prototype neuromorphic devices based on cadmium–indium sulfide (CdIn2S4). We have found that the compound, previously studied in photocatalysis and photovoltaics, has yet-to-be-explored memristive properties. We manufactured a series of devices with varying stoichiometry and unveiled their switching and neuromorphic behavior. Our measurements indicate that barriers on the CdIn2S4 interfaces and native CdIn2S4 metastable defects control the behavior of the devices. Due to its compelling optoelectronic properties, CdIn2S4 creates vast opportunities to use it as an active layer for optically controlled neuromorphic devices. We propose a disparate switching mechanism based on metastable defects that could be utilized in neuromorphic device technology.

ACS Applied Electronic MaterialsVol. 7(16)
Warsaw University of Technology (PL), Centre National de la Recherche Scientifique (FR), Institut des Matériaux Jean Rouxel (FR), Nantes Université (FR)
Politechnika Warszawska
Openalex Percentile: Top 24%
Advanced Memory and Neural Computing
0.73
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.