Li/Ni disordering modulated resistive switching behavior in LiNiO2
Abstract
With the rapid development of computing technology, two-terminal memristors with controllable resistance have attracted considerable attention due to their simple structure and ease of integration. This study proposes a method for modulating resistive switching behavior by adjusting the degree of Li/Ni disordering in LiNiO2 (LNO) memristors. By varying the synthesis temperature, the Li/Ni disordering in LNO can be controlled, as confirmed by refined x-ray diffraction results, thereby affecting the migration of Li+ within the material. Volatile bidirectional threshold switching behavior is observed in devices based on LNO synthesized at 700 °C with different electrodes. In contrast, samples synthesized at 750 and 800 °C, which exhibite higher Li/Ni disordering, demonstrate nonvolatile memristive switching (NMS) behavior. Furthermore, by tuning various synthesis conditions, the dependence of resistive switching behavior on the degree of Li/Ni disordering is further validated. Based on these behaviors and the underlying conduction mechanisms, a resistive switching model is proposed, combining the effects of phase transitions and oxygen vacancy conductive filaments. This study provides important insights for modulating the performance of memristors based on Li+-migration materials through atomic-level regulation.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (9)
Youhong Yuan
Hubei Key Laboratory of Micro-Nanoelectronic Materials and Devices, School of Integrated Circuits, Hubei University 1 , Wuhan, Hubei 430000,
Zefeng Ou
Hubei Key Laboratory of Micro-Nanoelectronic Materials and Devices, School of Integrated Circuits, Hubei University 1 , Wuhan, Hubei 430000,
Xi Chen
Gao Hu
Xunying Wang
Hubei Key Laboratory of Micro-Nanoelectronic Materials and Devices, School of Integrated Circuits, Hubei University 1 , Wuhan, Hubei 430000,
Chen Xia
Baoyuan Wang
Hubei Key Laboratory of Micro-Nanoelectronic Materials and Devices, School of Integrated Circuits, Hubei University 1 , Wuhan, Hubei 430000,
Hao Wang
Division of Quantitative Sciences, Department of Oncology Johns Hopkins University School of Medicine Baltimore Maryland USA
Wenjing Dong