Emulation of learning and memory behaviors by memristor based on Ag migration on 2D MoS surface
Creators
- 1. Beijing National Center for Electron Microscopy, Tsinghua University, Beijing (China)
- 2. Center for Brain‐Inspired Computing Research (CBICR), Tsinghua University, Beijing (China)
- 3. Key Laboratory of Advanced Materials (MOE), School of Materials Science and Engineering, Tsinghua University, Beijing (China)
- 4. Department of Materials, ETH Zurich (Switzerland)
- 5. Tsinghua‐Peking Center for Life Sciences, IDG/McGovern Institute for Brain Research, MOE Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing (China)
Description
Electrochemical metallization memories (ECM)‐based memristors are widely regarded as potential electronic devices for neuromorphic computing. However, in ECM‐based memristors, the formation of metallic conducting filament in insulating layer will cause an abrupt current increase, making it hard for analog neuromorphic emulation. Here, a memristor fabricated by using two‐dimensional (2D) semiconductor MoS that can provide atomically smooth and semi‐insulating surface as the medium for electric‐field‐driven migration of conducting filaments is proposed. This memristor based on the Ag ions migration on 2D MoS surface exhibits gradual conductance change behavior. Microstructure characterization shows that such gradual conductance change behavior can be attributed to the formation of conducting filament composed of a chain of metallic Ag nanoparticles of ≈5 nm at ON‐state device. By comparing with biological experimental data, it is found that our device can well mimic the learning behavior of Drosophila. Finding shows the potential to realize stable analog ECM‐based memristors and paves the way for fabricating large‐scale memristor network. (© 2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Availability note (English)
Available from: http://dx.doi.org/10.1002/pssa.201900104Additional details
Identifiers
Publishing Information
- Journal Title
- Physica Status Solidi A. Applications and Materials Science (Online)
- Journal Volume
- 216
- Journal Issue
- 14
- Journal Page Range
- p. 1-8
- ISSN
- 1862-6319
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 51033364
- Subject category
- S36: MATERIALS SCIENCE;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- ADAPTIVE SYSTEMS; COMPARATIVE EVALUATIONS; DROSOPHILA; ELECTRIC CONDUCTIVITY; ELECTROCHEMISTRY; EXPERIMENTAL DATA; FILAMENTS; LEARNING; MEMORY DEVICES; MICROSTRUCTURE; MOLYBDENUM SULFIDES; NANOPARTICLES; SEMICONDUCTOR MATERIALS; SILVER IONS; SURFACES
- Descriptors DEC
- ANIMALS; ARTHROPODS; CHALCOGENIDES; CHARGED PARTICLES; CHEMISTRY; COMPUTERIZED CONTROL SYSTEMS; CONTROL SYSTEMS; DATA; DIPTERA; ELECTRICAL PROPERTIES; EVALUATION; FLIES; FRUIT FLIES; INFORMATION; INSECTS; INVERTEBRATES; IONS; MATERIALS; MOLYBDENUM COMPOUNDS; NUMERICAL DATA; ON-LINE CONTROL SYSTEMS; ON-LINE SYSTEMS; PARTICLES; PHYSICAL PROPERTIES; REFRACTORY METAL COMPOUNDS; SULFIDES; SULFUR COMPOUNDS; TRANSITION ELEMENT COMPOUNDS
Optional Information
- Notes
- AID: 1900104