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Ultrafast responsive non-volatile flash photomemory and its application on artificial neural network

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Ultrafast responsive non-volatile flash photomemory and its application on artificial neural network

Photodetectors are essential components in the Internet of Things (IoT); however, most conventional photodetectors generate only transient photocurrents, requiring additional processors for data storage. Professor Jung-Yao Chen’s team has developed an innovative non-volatile flash photomemory, achieving a programming time of 0.7 ms and a photoresponsivity of 1.91×10^4 mA W^-1. Furthermore, the integration of a hydrogen-sensitive gasochromic film with the photomemory enables hydrogen leakage detection.

National Cheng Kung University

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  • Pavilion:Future Tech Evolutionary Materials & Chemical FJ05

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Materials & Chemical Engineering & Nanotech

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  • Technology maturity:Trial production

  • Exhibiting purpose:Display of scientific results

  • Trading preferences:Negotiate by self

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