Infrared In-Sensor Computing Based on Flexible Photothermoelectric Tellurium Nanomesh Arrays

Jiachi Liao, He Shao, Yuxuan Zhang, Yan Yan, Ji Zeng, Changyong Lan, Boxiang Gao, Dong Chen, Quan Quan, Pengshan Xie, You Meng*, Johnny C. Ho*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The inherent limitations of traditional von Neumann architectures hinder the rapid development of internet of things technologies. Beyond conventional, complementary metal-oxide-semiconductor technologies, imaging sensors integrated with near- or in-sensor computing architectures emerge as a promising solution. In this study, the multi-scale van der Waals (vdWs) interactions in 1D tellurium (Te) atomic chains are explored, leading to the deposition of a photothermoelectric (PTE) Te nanomesh on a polymeric polyimide substrate. The self-welding process enables the lateral vapor growth of a well-connected Te nanomesh with robust electrical and mechanical properties, including a PTE responsivity of ≈120 V W−1 in the infrared light regime. Leveraging the PTE operation, the thermal-coupled bi-directional photoresponse is investigated to demonstrate a proof-of-principle in-sensor convolutional network for edge computing. This work presents a scalable approach for assembling functional vdWs Te nanomesh and highlights its potential applications in PTE image sensing and convolutional processing. © 2025 Wiley-VCH GmbH.
Original languageEnglish
Article number2419653
JournalAdvanced Materials
Volume37
Issue number15
Online published4 Mar 2025
DOIs
Publication statusPublished - 16 Apr 2025

Funding

The project was supported by the Innovation and Technology Fund (Project no. MHP/126/21) from the Innovation and Technology Commission of Hong Kong SAR, China, the National Natural Science Foundation of China (Project no. 12204248), the Research Grants Council of the Hong Kong SAR, China (Project No. CRS_CityU101/24), the Science Technology and Innovation Committee of Shenzhen Municipality (Project No. JCYJ20230807114910021), Guangdong Basic and Applied Basic Research Fund (Project no. 2024A1515011922), and City University of Hong Kong (Project no. 7006109 and 7020088).

Research Keywords

  • convolutional image processing
  • in-sensor computing
  • photothermoelectric detectors
  • tellurium nanomesh

Fingerprint

Dive into the research topics of 'Infrared In-Sensor Computing Based on Flexible Photothermoelectric Tellurium Nanomesh Arrays'. Together they form a unique fingerprint.

Cite this