Broadband In‐Sensor Image Processing Based on Reconfigurable Asymmetric WSe 2 Photodetectors
Source abstract
Abstract
ABSTRACT Hyperspectral remote sensing, which captures data from the ultraviolet (UV) to near‐infrared (NIR), is critical for applications ranging from environmental monitoring to military reconnaissance. However, the immense data volume creates a bottleneck, causing high latency and power consumption in traditional systems where sensing and processing are physically separated. In‐sensor computing, which performs data pre‐processing directly at the sensor level, offers a promising solution. Here, we demonstrate a novel device architecture for broadband in‐sensor image processing based on an asymmetric bottom‐Au/WSe 2 /top‐Au (b‐Au/WSe 2 /t‐Au) stack. This device leverages a gate‐controlled lateral homojunction within the bipolar WSe 2 channel to achieve a linearly tunable positive and negative photoresponse across a broadband range from 300 to 1800 nm. This makes it ideal for broadband analog multiply‐accumulate operations. Furthermore, the device exhibits linear photoresponse to optical power, with a power law exponent α ranging from 0.97 to 1.05. As a proof‐of‐concept, we fabricated a 3 × 3 array hardwired as a Prewitt operator, successfully demonstrating its capability for real‐time broadband edge detection. This work provides a concise and scalable hardware platform for performing broadband in‐sensor image processing.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 2D Materials and Applications · Transition Metal Oxide Nanomaterials · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu China
Tianfu Jiangxi Laboratory Chengdu China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Sichuan Province
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