ACS Publications. Most Trusted. Most Cited. Most Read
Near-Sensor Neuromorphic Computing System Based on a Thermopile Infrared Detector and a Memristor for Encrypted Visual Information Transmission
My Activity
    Letter

    Near-Sensor Neuromorphic Computing System Based on a Thermopile Infrared Detector and a Memristor for Encrypted Visual Information Transmission
    Click to copy article linkArticle link copied!

    • Zheng Wang
      Zheng Wang
      School of Integrated Circuits, Shandong University, Jinan 250100, China
      Suzhou Research Institute, Shandong University, Suzhou 215123, China
      More by Zheng Wang
    • Jinhao Zhang
      Jinhao Zhang
      School of Integrated Circuits, Shandong University, Jinan 250100, China
      Suzhou Research Institute, Shandong University, Suzhou 215123, China
      More by Jinhao Zhang
    • Zhenyu Zhang
      Zhenyu Zhang
      State Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Shanxi, Taiyuan 030051, China
      More by Zhenyu Zhang
    • Jialin Meng*
      Jialin Meng
      School of Integrated Circuits, Shandong University, Jinan 250100, China
      Suzhou Research Institute, Shandong University, Suzhou 215123, China
      National International Innovation Center, Shanghai 201203, China
      Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai 200433, P. R. China
      *Email: [email protected]
      More by Jialin Meng
    • Cheng Lei*
      Cheng Lei
      State Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Shanxi, Taiyuan 030051, China
      *Email: [email protected]
      More by Cheng Lei
    • Tianyu Wang*
      Tianyu Wang
      School of Integrated Circuits, Shandong University, Jinan 250100, China
      Suzhou Research Institute, Shandong University, Suzhou 215123, China
      National International Innovation Center, Shanghai 201203, China
      State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 865 Changning Road, Shanghai 200050, China
      *Email: [email protected]
      More by Tianyu Wang
    Other Access OptionsSupporting Information (1)

    Nano Letters

    Cite this: Nano Lett. 2025, 25, 19, 8049–8057
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.nanolett.5c01843
    Published May 6, 2025
    Copyright © 2025 American Chemical Society

    Abstract

    Click to copy section linkSection link copied!
    Abstract Image

    Near-sensor neuromorphic computing systems that utilize photodetectors and memristors exhibit significant promise in the domains of visual information processing, transmission, and noise reduction recognition. In comparison to conventional photodetectors operating within the visible-light spectrum, thermopile infrared detectors offer distinct advantages in terms of concealment and security. This study proposes an integrated near-sensor computing system that combines a thermoelectric infrared detector with a memristor, which demonstrates a broad detection range (100–310 °C), rapid response time for sensing infrared signals, and excellent neuromorphic computing characteristics for information processing. Besides high-accuracy recognition of handwritten digits, near-infrared visual information recognition and voice recognition for double information encryption were demonstrated in the system. This neuromorphic computing system holds considerable potential for applications in the propagation, encryption, and recognition of security information within the infrared spectrum.

    Copyright © 2025 American Chemical Society

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. Add or change your institution or let them know you’d like them to include access.

    Supporting Information

    Click to copy section linkSection link copied!

    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.nanolett.5c01843.

    • Fabrication and characterization methods, device structure and material composition, detailed SEM images of the cold and hot junctions, process flowchart, ANSYS simulation of temperature and heat flux, schematic diagram of the thermopile test system, various waveforms of the detector tested by the infrared signal source at 100, 150, 227, and 310 °C, Pt/HflAlOx /TiN memristor resistance switching mechanism, IPSC behavior, cumulative probability of memristor set/reset voltage, pulse parameter dependent plasticity, thermopile infrared detector array optical image, MNIST recognition results under different noise ratios, and schematic diagram of cardboard materials capable of absorbing light of different wavelengths and CNN hardware speech recognition system (PDF)

    Terms & Conditions

    Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.

    Cited By

    Click to copy section linkSection link copied!

    This article has not yet been cited by other publications.

    Nano Letters

    Cite this: Nano Lett. 2025, 25, 19, 8049–8057
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.nanolett.5c01843
    Published May 6, 2025
    Copyright © 2025 American Chemical Society

    Article Views

    393

    Altmetric

    -

    Citations

    -
    Learn about these metrics

    Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

    Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

    The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.