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

作者：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 · 发表于：Advanced Materials · 年份：2025 · DOI：10.1002/adma.202419653 · 被引用次数：30 · 研究领域：Advanced Memory and Neural Computing、Transition Metal Oxide Nanomaterials、Advanced Thermoelectric Materials and Devices

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.