Memristive technologies for data storage, computation, encryption, and radio-frequency communication
Lu, Wei D.
Le Gallo, Manuel
Puglisi, Francesco M.
Alshareef, Husam N.
Roldan, Juan B.
KAUST DepartmentPhysical Science and Engineering (PSE) Division
Material Science and Engineering Program
Permanent link to this recordhttp://hdl.handle.net/10754/678599
MetadataShow full item record
AbstractMemristive devices, which combine a resistor with memory functions such that voltage pulses can change their resistance (and hence their memory state) in a nonvolatile manner, are beginning to be implemented in integrated circuits for memory applications. However, memristive devices could have applications in many other technologies, such as non–von Neumann in-memory computing in crossbar arrays, random number generation for data security, and radio-frequency switches for mobile communications. Progress toward the integration of memristive devices in commercial solid-state electronic circuits and other potential applications will depend on performance and reliability challenges that still need to be addressed, as described here.
CitationLanza, M., Sebastian, A., Lu, W. D., Le Gallo, M., Chang, M.-F., Akinwande, D., Puglisi, F. M., Alshareef, H. N., Liu, M., & Roldan, J. B. (2022). Memristive technologies for data storage, computation, encryption, and radio-frequency communication. Science, 376(6597). https://doi.org/10.1126/science.abj9979
SponsorsM.L. acknowledges support from the King Abdullah University of Science and Technology. A.S. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement numbers 682675 and 966764). D.A. acknowledges funding from Office of Naval Research grant N00014-20-1-2104 and Air Force Research Laboratory award FA9550-21-1-0460. M.L. acknowledges S. Bertolazzi from Yole Développement for advice on memory market trends, S. Pazos from the King Abdullah University of Science and Technology for useful discussions on device and system technology, and E. Sahagun from Scixel for graphics design.
- Circuit-Level Memory Technologies and Applications based on 2D Materials.
- Authors: Ma J, Liu H, Yang N, Zou J, Lin S, Zhang Y, Zhang X, Guo J, Wang H
- Issue date: 2022 May 23
- A New Approach to the Fabrication of Memristive Neuromorphic Devices: Compositionally Graded Films.
- Authors: Yoon JG
- Issue date: 2020 Aug 20
- Memristors for Neuromorphic Circuits and Artificial Intelligence Applications.
- Authors: Miranda E, Suñé J
- Issue date: 2020 Feb 20
- Reconfigurable and Efficient Implementation of 16 Boolean Logics and Full-Adder Functions with Memristor Crossbar for Beyond von Neumann In-Memory Computing.
- Authors: Song Y, Wang X, Wu Q, Yang F, Wang C, Wang M, Miao X
- Issue date: 2022 May
- Memristive crossbar arrays for brain-inspired computing.
- Authors: Xia Q, Yang JJ
- Issue date: 2019 Apr