Cheng-Yueh Chen

Title: Cheng-Yueh Chen: Innovator in Memristor Technology

Introduction

Cheng-Yueh Chen is a prominent inventor based in Taichung, Taiwan. He has made significant contributions to the field of electronics, particularly in the development of memristor technology. His innovative work focuses on creating lead-free metallic halide memristors, which have the potential to revolutionize artificial synaptic elements.

Latest Patents

Cheng-Yueh Chen holds a patent for a "Lead-free metallic halide memristor and electronic element comprising the same." This invention features a lead-free metallic halide memristor that includes a first electrode layer, an active layer, and a second electrode layer. The active layer is composed of a metallic halide material. Experimental data indicate that this memristor exhibits synaptic plasticity, demonstrating characteristics such as short-term potentiation, short-term depression, long-term potentiation, and long-term depression. These properties suggest that the memristor has significant potential for use as an artificial synaptic element, particularly in the manufacture of reservoir computing chips. Additionally, it has been shown to possess multi-level resistive switching capabilities, making it suitable for analog non-volatile memory applications in neuromorphic computing chips. Cheng-Yueh Chen has 1 patent to his name.

Career Highlights

Cheng-Yueh Chen is affiliated with Tsinghua University, where he continues to advance his research in memristor technology. His work has garnered attention for its innovative approach to creating environmentally friendly electronic components.

Collaborations

Cheng-Yueh Chen has collaborated with notable colleagues, including Hao-Wu Lin and Tsung-Kai Su. Their combined expertise contributes to the advancement of research in the field of memristors and electronic elements.

Conclusion

Cheng-Yueh Chen is a key figure in the development of lead-free metallic halide memristors, showcasing the potential for innovative applications in neuromorphic computing. His contributions to the field highlight the importance of sustainable technology in electronics.