Multilevel resistive random access memory achieved by MoO3/Hf/MoO3 stack and its application in tunable high-pass filter
Creators
- 1. School of Microelectronics, Faculty of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049 (China)
- 2. Key Laboratory of MEMS of the Ministry of Education, School of Electronic Science and Engineering, Southeast University, Nanjing 211189 (China)
- 3. College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018 (China)
Description
In this work, the multilevel resistive random access memories (RRAMs) have been achieved by using the structure of Pt/MoO3/Hf/MoO3/Pt with four stable resistance states. The devices show good retention property of each state (>104 s) and large memory window (>104). The simulation and experimental study reveal that the resistive switching mechanism is ascribed to combination of the conductive filament in the stack of MoO3/Hf next to the top electrode and redox reaction at the interface of Hf/MoO3 next to bottom electrode. The fitting results of current–voltage characteristics under low sweep voltage indicate that the conduction of HRSs is dominated by the Poole–Frenkel emission and that of LRS is governed by the Ohmic conduction. Based on the RRAM, the tunable high-pass filter (HPF) with configurable filtering characteristics has been realized. The gain-frequency characteristics of the programmable HPF show that the filter has high resolution and wide programming range, demonstrating the viability of the multilevel RRAMs for future spiking neural network and shrinking the programmable filters with low power consumption. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1361-6528/ac0ac4Additional details
Identifiers
Publishing Information
- Journal Title
- Nanotechnology (Print)
- Journal Volume
- 32
- Journal Issue
- 38
- Journal Page Range
- [8 p.]
- ISSN
- 0957-4484
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53060932
- Subject category
- S77: NANOSCIENCE AND NANOTECHNOLOGY;
- Descriptors DEI
- ELECTRIC POTENTIAL; ELECTRODES; EMISSION; FILTERS; INTERFACES; MOLYBDENUM OXIDES; NEURAL NETWORKS; RANDOMNESS; REDOX REACTIONS; RETENTION; SIMULATION; STACKS
- Descriptors DEC
- CHALCOGENIDES; CHEMICAL REACTIONS; MOLYBDENUM COMPOUNDS; OXIDES; OXYGEN COMPOUNDS; REFRACTORY METAL COMPOUNDS; TRANSITION ELEMENT COMPOUNDS