Flexible memristor based on lead-free CsAgBiBr perovskite for artificial nociceptors and information security
Creators
- 1. Institute of Microelectronics and Integrated Circuits, School of Microelectronics, Hubei University, Wuhan, 430062 (China)
- 2. Hubei Yangtze Memory Laboratories, Wuhan, 430205 (China)
Description
The emergence of the artificial intelligence urgently requires novel devices to handle massive data and bionic simulations. As one of new generation memory devices, memristor has great potential in information storage and brain-like learning due to its merits, such as low energy consumption, high speed and etc. In addition, the randomness for the generation and breakage of the conducting filaments in the memristor can generate the true random numbers and realize the image encryption. In this work, the ITO/CsAgBiBr/Al based devices exhibit prominent resistance variation characteristics and long-term environmental stability (≥6 months). Additionally, the flexible PET/ITO/CsAgBiBr/Al devices are assembled and measured resistance variation properties, which are adopt to realize the cryptographic processing of image information. The synaptic plasticity of the memristor is also verified, including paired pulse facilitation and spiking timing-dependent plasticity. Finally, nociceptive responses are also simulated with the memristor via imposing different voltage. Nociceptive characteristics including 'threshold,' 'relaxation,' and 'sensitization' have been successfully determined. The work provides possibility for lead-free flexible perovskite memristors in information security and biomimicry. (© 2024 Wiley‐VCH GmbH)
Availability note (English)
Available from: http://dx.doi.org/10.1002/adfm.202412375Additional details
Publishing Information
- Journal Title
- Advanced Functional Materials (Internet)
- Journal Volume
- 35
- Journal Issue
- 2
- Journal Page Range
- p. 1-10
- ISSN
- 1616-3028
- CODEN
- AFMDC6
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- Subject category
- S36: MATERIALS SCIENCE;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; BISMUTH BROMIDES; CESIUM BROMIDES; CRYPTOGRAPHY; MEMORY DEVICES; PEROVSKITE; PLASTICITY; POSITRON COMPUTED TOMOGRAPHY; SECURITY; SILVER BROMIDES
- Descriptors DEC
- ALKALI METAL COMPOUNDS; BISMUTH COMPOUNDS; BISMUTH HALIDES; BROMIDES; BROMINE COMPOUNDS; CESIUM COMPOUNDS; CESIUM HALIDES; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; EMISSION COMPUTED TOMOGRAPHY; HALIDES; HALOGEN COMPOUNDS; MECHANICAL PROPERTIES; MINERALS; OXIDE MINERALS; PEROVSKITES; SILVER COMPOUNDS; SILVER HALIDES; TOMOGRAPHY; TRANSITION ELEMENT COMPOUNDS
Optional Information
- Notes
- AID: 2412375