articleTop 1% cited
Review of memristor devices in neuromorphic computing: materials sciences and device challenges
Journal of Physics D Applied Physics · 2018 · Vol. 51(50) · pp. 503002–503002
Yibo Li✉(University of Massachusetts Amherst)Zhongrui Wang(University of Massachusetts Amherst)Rivu Midya(University of Massachusetts Amherst)Qiangfei Xia(University of Massachusetts Amherst)J. Joshua Yang(University of Massachusetts Amherst)
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeuroscience and Neural EngineeringNeuromorphic engineeringMemristorComputer scienceComputer architectureMaterials scienceNanotechnologyArtificial intelligenceArtificial neural networkEngineeringElectronic engineering
Funding
- Air Force Research Laboratory
Citations
534
FWCI
20.09
field-weighted impact
References
79
Percentile
100%
vs. same field & year
Citations per year
References
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
IEEE Transactions on Electron Devices · 2015 · 908 citations
Memristive switching mechanism for metal/oxide/metal nanodevices
Nature Nanotechnology · 2008 · 2,920 citations
Memristive devices and systems
Proceedings of the IEEE · 1976 · 2,537 citations
The missing memristor found
Nature · 2008 · 11,249 citations
Atomic structure of conducting nanofilaments in TiO2 resistive switching memory
Nature Nanotechnology · 2010 · 2,067 citations
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Nature Materials · 2016 · 2,249 citations
Edge Computing for the Internet of Things: A Case Study
IEEE Internet of Things Journal · 2018 · 676 citations
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