1. High-performance resistive switching memory with embedded molybdenum disulfide quantum dots
- Author
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Zhikai Gan, Ke Chang, Yizhen Li, Hui Wang, Xinyuan Dong, Yuhong Cao, Xinna Yu, Renzhi Wang, Zhuyikang Zhao, Binbin Liu, Yiru Niu, Diyuan Zheng, Kang'an Jiang, Peng Bao, Yibin Ling, Su Hu, and Anhua Dong
- Subjects
Materials science ,Physics and Astronomy (miscellaneous) ,business.industry ,Resistive random-access memory ,chemistry.chemical_compound ,chemistry ,Quantum dot ,Electric field ,Computer data storage ,Optoelectronics ,business ,Molybdenum disulfide ,Electrical conductor ,Conventional memory ,Voltage - Abstract
With the advent of the big-data era, conventional memory technologies and devices are facing enormous challenges. Resistive random access memory (RRAM) is an emerging memory technology that has aroused widespread interest for its immense potential. However, there remain some problems in resistive switching devices, such as high switching voltages, random voltages distribution, wide variation in resistance states, and poor endurance. In this work, molybdenum disulfide quantum dots are applied to resistive switching devices. The resulting devices exhibit improved performance. They have ultra-low and centralized switching voltages, uniformly distributed resistance states, good endurance, and extremely large on/off ratios. This performance optimization may derive from the convergence of electric field distribution around molybdenum disulfide quantum dots, which enhances the formation of localized conductive filaments. In this Letter, we propose an approach for improving resistive switching properties, significantly facilitating the development of data storage and related applications.
- Published
- 2021
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