Multibit tribotronic nonvolatile memory based on van der Waals heterostructures. (May 2021)

• Record Type: Journal Article
• Authors: Jia, Mengmeng; Yu, Jinran; Liu, Yudong; Guo, Pengwen; Lei, Ying; Wang, Wei; Yu, Aifang; Zhu, Yaxing; Sun, Qijun; Zhai, Junyi; Wang, Zhong Lin
• Is Part Of: Nano energy. Volume 83(2021)
• Publication Date: 2021-05
• Subjects: Multibit tribotronic nonvolatile memory -- van der Waals heterostructures -- Triboelectric nanogenerator -- Tribotronics -- Logic inverter; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2021.105785
• Languages: English
• ISSNs: 2211-2855

Abstract

Abstract: Low power and multifunctional nonvolatile memories are promising candidates for processing massive data in the Internet of Things era. However, the storage states in conventional memory devices are under the restricted control by electrical or optical signals. Herein, a new multibit tribotronic nonvolatile memory (T-NVM) based on a graphene/hexagonal boron nitride/molybdenum disulfide van der Waals heterostructure and triboelectric nanogenerator (TENG) is proposed. The programming/erasing states can be modulated by the triboelectric potential, which is determined by changing the distance between the two triboelectrification layers. Under the modulation of external mechanical actions, the device exhibits a high on/off ratio of 10 5 via manipulating mechanical distance from − 0.2 mm to + 0.2 mm, a long retention time up to 6000 s, a stable switching behavior for over 100 cycles, and a multilevel data storage capability of 14 stages by different external stimuli. Furthermore, a memory inverter circuit employing the triboelectric potential as input signals can serve as the conversion of logical signals. This work proves the great potential of tribotronic devices for direct interaction with external environment in lower power and broadening diverse applications of human-robot interactions, self-powered wearable devices, and intelligent instrumentation. Graphical Abstract: A tribotronic nonvolatile memory integrated two dimensional materials heterostructures and a triboelectric nanogenerator can be effectively controlled by mechanical displacement, enabling the programming/erasing operation of the memory. In addition, the device can also realize multilevel data storage by distinct external stimuli and good conversion of logic signals with input from mechanical instructions. ga1 Highlights: A tribotronic nonvolatile memory is developed by integrating 2D heterostructures and a triboelectric nanogenerator. The basic programming/erasing states can be well modulated by external mechanical signals. The device realizes multilevel data storage and the conversion of logical signals successfully.