Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems
Massachusetts Institute of Technology · Pohang University of Science and Technology · +21 more institutions
Abstract
Memristive technology has been rapidly emerging as a potential alternative to traditional CMOS technology, which is facing fundamental limitations in its development. Since oxide-based resistive switches were demonstrated as memristors in 2008, memristive devices have garnered significant attention due to their biomimetic memory properties, which promise to significantly improve power consumption in computing applications. Here, we provide a comprehensive overview of recent advances in memristive technology, including memristive devices, theory, algorithms, architectures, and systems. In addition, we discuss research directions for various applications of memristive technology including hardware accelerators…
Citation impact
- FWCI
- 32.28
- Percentile
- 100%
- References
- 415
Authors
41Topics & keywords
- Memristor
- Computer science
- Resistive random-access memory
- Neuromorphic engineering
- Nanotechnology
- Field (mathematics)
- CMOS
- Power consumption
- Affordable and clean energy
Funding
- SRSemiconductor Research Corporation
- DFDeutsche ForschungsgemeinschaftAward: AL 560/21-1
- NNNational Natural Science Foundation of ChinaAward: 62122004
- RGResearch Grants Council, University Grants CommitteeAwards: 27206321, 17205922, PolyU502/22
- NRNational Research Foundation of KoreaAwards: NRF-2022M3I7A2078273, NRF-2021R1A6A3A14044297, NRF-2022M3F3A2A01072851
- ECElectronic Components and Systems for European Leadership
- SSSamsung Science and Technology FoundationAward: SRFC-IT2001-40206
- OOOffice of Science
- DODivision of Materials ResearchAward: DMR-1720139
- HFH2020 Future and Emerging TechnologiesAward: 101017237
- EMEuropean Metrology Programme for Innovation and ResearchAwards: 20FUN06, EMPIR 20FUN06 MEMQuD
- HEHORIZON EUROPE European Innovation CouncilAward: 101046878
- HLH2020 LEIT BiotechnologyAwards: 783176, 101007321
- MWMIT-IBM Watson AI Lab