NplusT’s technology was recently featured in a research publication and played a critical role in enabling precise data collection and testing. Using NanoCycler as core tool for acquiring real-device data during the entire NAND life cycle, Luo Zheng’s dissertation, titled “Research and Development of Efficient Testing Technology for Ultra-large Capacity 3D Flash Memory”, delves into enhancing the reliability and lifespan of 3D NAND flash memory.

Written under the guidance of Prof. Han Guojun at the Department of Electronic Information, Guangdong University of Technology, in Guangzhou, China, the research focuses on developing machine learning models to accurately predict flash memory lifespan. The work aims to optimize storage system performance by reducing the impact of noise on lifespan prediction accuracy.

The NplusT team extends their congratulations to Luo Zheng for earning the degree of Master of Electronic Information.