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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

National Cheng Kung University (NCKU) envisions its campus as a place that nurtures imagination, grounded in solid academic research and high-quality learning. The university is committed to fostering urban development and global sustainability as part of its centennial mission. By breaking institutional barriers and strengthening interdisciplinary teaching and research, NCKU encourages students to recognize social issues, produce research that meets societal needs, and actively engage in solving global challenges—reflecting its responsibility as a leading 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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