Reconfigurable optoelectronic memristive architecture based on doped nanowire array for in-memory parallel perception and computation

Advanced hardware functional integration for emergent computing paradigms facilitates the potential optimization of computational redundancy in artificial intelligence. However, the device design for parallel perception and in-memory computing remains challenging. To develop a state-of-the-art integrated functional memory, this study demonstrates a reconfigurable optoelectronic memristive architecture (ROMA) based on a doped nanowire array for <i>in situ</i> parallel perception and in-sensor computation. The memristor based on In<sub>2</sub>S<sub>3-X</sub>As<sub>X</sub> exhibits favorable photoconductive retention and reconfigurable optoelectronic modulation, which originates from vacancy engineering induced by doping modulation. The memristive performance of In<sub>2</sub>S<sub>3-X</sub>As<sub>X</sub> can be tuned by controlling the doping dose. A monolithically integrated array demonstrates an improvement of the discriminative state by more than two orders of magnitude with a double sampling of the output signal, and achieves recognition and encoding of 12-bit binary optical signals on a single column. The nanowire memristive architecture provides an efficient hardware foundation for highly parallel and efficiently distributed computational paradigms.

Authors

Institutions

Publication Details

Journal
National Science Review
Published
2025-09-12
DOI
https://doi.org/10.1093/nsr/nwaf386
Citations
10
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
7.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reconfigurable optoelectronic memristive architecture based on doped nanowire array for in-memory parallel perception and computation

Yiqiang Zheng, Zhexin Li, Yongchao Yu, Lili Wang et al.
10 citations
National Science Review
Advanced Memory and Neural Computing
7.30
article

Reconfigurable optoelectronic memristive architecture based on doped nanowire array for in-memory parallel perception and computation

Yiqiang Zheng, Zhexin Li, Yongchao Yu, Lili Wang, Lingchen Liu, Bowen Zhong, Zheng Lou, Linlin Li
article en
10 citations

Abstract

Advanced hardware functional integration for emergent computing paradigms facilitates the potential optimization of computational redundancy in artificial intelligence. However, the device design for parallel perception and in-memory computing remains challenging. To develop a state-of-the-art integrated functional memory, this study demonstrates a reconfigurable optoelectronic memristive architecture (ROMA) based on a doped nanowire array for <i>in situ</i> parallel perception and in-sensor computation. The memristor based on In<sub>2</sub>S<sub>3-X</sub>As<sub>X</sub> exhibits favorable photoconductive retention and reconfigurable optoelectronic modulation, which originates from vacancy engineering induced by doping modulation. The memristive performance of In<sub>2</sub>S<sub>3-X</sub>As<sub>X</sub> can be tuned by controlling the doping dose. A monolithically integrated array demonstrates an improvement of the discriminative state by more than two orders of magnitude with a double sampling of the output signal, and achieves recognition and encoding of 12-bit binary optical signals on a single column. The nanowire memristive architecture provides an efficient hardware foundation for highly parallel and efficiently distributed computational paradigms.

National Science ReviewVol. 12(11)
Institute of Semiconductors (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 3%
Advanced Memory and Neural Computing
7.30
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.

Reconfigurable optoelectronic memristive architecture based on doped nanowire array for in-memory parallel perception and computation — Yiqiang Zheng, Zhexin Li, et al. · National Science Review (2025) | TGRS Research Map | TGRS