Two-dimensional material-based devices for in-sensor computing

Abstract In-sensor computing (ISC) integrates sensing, memory, and processing at the point of data acquisition, enabling real-time, low-power operation. Two-dimensional (2D) materials offer unique advantages for ISC due to their atomic thickness and multifunctional properties. This review highlights 2D material-based ISC devices, covering mechanisms, performance, and architectures, and discusses challenges and solutions toward scalable fabrication and practical deployment in emerging technologies like Internet of Things (IoT), analog computing, and motion detection.

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Institutions

Publication Details

Journal
npj Unconventional Computing
Published
2025-08-04
DOI
https://doi.org/10.1038/s44335-025-00034-4
Citations
11
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
8.03

Funders

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article

Two-dimensional material-based devices for in-sensor computing

Jiazheng Chen, Xiaodong Yan, Weigang Wang
11 citations
npj Unconventional Computing
Advanced Memory and Neural Computing
8.03
article

Two-dimensional material-based devices for in-sensor computing

Jiazheng Chen, Xiaodong Yan, Weigang Wang
article en
11 citations

Abstract

Abstract In-sensor computing (ISC) integrates sensing, memory, and processing at the point of data acquisition, enabling real-time, low-power operation. Two-dimensional (2D) materials offer unique advantages for ISC due to their atomic thickness and multifunctional properties. This review highlights 2D material-based ISC devices, covering mechanisms, performance, and architectures, and discusses challenges and solutions toward scalable fabrication and practical deployment in emerging technologies like Internet of Things (IoT), analog computing, and motion detection.

npj Unconventional ComputingVol. 2(1)
University of Arizona (US)
National Science Foundation, University of Arizona, Division of Electrical, Communications and Cyber Systems
Openalex Percentile: Top 2%
Advanced Memory and Neural Computing
8.03
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