Photo-patternable Photomemory for Logic Gate Application
발표자
Jung-Yao Chen (National Cheng Kung University)
연구책임자
Jung-Yao Chen (National Cheng Kung University)
초록
내용
Photonic integrated circuits (PICs), which integrate various photonic components, are promising for high-speed, high-capacity, and low-thermal-effect data communication systems. The exploration of photonic components such as LEDs, image sensors, opto-couplers, photodiodes, and non-volatile flash photomemory is critical, especially the latter, as it serves as a fundamental building block for modern big data storage. However, the mechanisms behind photo-recording remain underexplored, and there is little discussion on selecting photoactive materials for ultrafast photo-programming. This talk will address these challenges and discuss strategies for realizing ultrafast photo-programming in photomemory. Furthermore, as the importance of machine learning continues to grow, in-memory computation emerges as a promising approach, especially for data-intensive tasks like machine learning. Unlike the conventional von Neumann architecture, which separates processing and storage process, in-memory computation offers advantages by enhancing data access speed, reducing energy consumption, and improving overall efficiency. However, the development of organic photo-controllable logic-in-memory remains rare due to challenges such as solubility issues for film stacking and the immaturity of photo-recordable devices. In this talk, the strategies to realizing all solution-processable and photo-programmable inverter will be discussed as well.