Photodetectors are crucial for IoT, but most only offer transient photocurrent, needing extra processors for storage. Professor Jung-Yao Chen’s team innovated non-volatile flash photomemory, achieving a 0.7 ms programming time and photoresponsivity of 1.91×10^4 mA W-1. Integrating hydrogen-sensitive gasochromic film with photomemory empowers the photomemory with hydrogen leakage detection.

Professor Chen’s team pioneered the use of organic-inorganic room-temperature phosphorescent 2D perovskite in photomemory to realizing a 0.7 ms writing time, a high photoresponsivity of 1.91×10^4 mA W-1, and 128 levels of memory behavior. It demonstrates that long-lived excitons in organic-inorganic room-temperature phosphorescent 2D perovskites facilitate exciton diffusion and thus benefiting charge separation.

"(1) Photonic Integrated Circuits
 
 Non-volatile flash photomemory is essential for big data storage and optical wireless communication, enabling data retention without power and serving as a core component in modern storage devices.
 
 (2) Applications of Photomemory in IoT
 
 In the IoT industry, the multi-level memory effect of photomemory finds significant application potential, particularly in artificial neural networks for complex image analysis and prediction."