With the growing demand for edge computing across mobile devices and security systems, conventional electronics are increasingly hindered by high power consumption and complex integration requirements. In response to these challenges, researchers from Nanjing University of Posts and Telecommunications, Nanjing Tech University, and The Hong Kong University of Science and Technology have developed a novel solution based on ultra-low voltage optoelectronic polymer memristors.
Utilising these devices, the researchers constructed a reservoir computing framework which achieved a fingerprint recognition accuracy of 97.15%. The memristors are fabricated via scalable solution-based techniques on flexible substrates, offering both low-cost production and compatibility with large-area flexible electronics, highlighting their potential for widespread adoption in future portable smart systems.
Light Science & Applications
Optoelectronic polymer memristors with dynamic control for power-efficient in-sensor edge computing