Ching-Fang Yen

Title: Innovations of Ching-Fang Yen

Introduction

Ching-Fang Yen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of non-volatile memory technology. With a total of 2 patents, his work has advanced the capabilities of memory storage solutions.

Latest Patents

Yen's latest patents include a "Non-volatile memory with common source" and a "Method of erasing a non-volatile memory." The first patent describes a non-volatile memory that integrates a main memory array region and a redundant memory array region without the typical field oxide and dummy memories. This innovative design allows the main and redundant memory to be directly adjacent on a doped region of the semiconductor wafer, sharing essential components like the common source, drain, bit line, and ground line. The control method enables efficient signal passing and selection between the two memory areas.

The second patent outlines a method for erasing non-volatile memory positioned on a semiconductor wafer substrate. This method involves controlling the potential difference between a word line not to be erased and the substrate within a specific range. By supplying a predetermined potential to the word line to be erased and floating the word line not to be erased, the charges stored in the floating gate of the memory cell can be effectively driven into the channel, completing the erasing process without affecting the memory cell connected to the word line not to be erased.

Career Highlights

Ching-Fang Yen is currently employed at Macronix International Co., Ltd., where he continues to innovate in the field of memory technology. His work has been instrumental in developing advanced memory solutions that meet the growing demands of modern technology.

Collaborations

Yen collaborates with Ful-Long Ni, a talented woman in the field, contributing to the advancement of their projects and innovations.

Conclusion

Ching-Fang Yen's contributions to non-volatile memory technology demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of memory systems and their potential for future advancements.