Konstantin K. Likharev, Ph.D. Moscow State University

Affiliations: 
Physics Stony Brook University, Stony Brook, NY, United States 
Area:
Nanodevice physics.
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"Konstantin Likharev"
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Publications

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Xia Q, Berggren KK, Likharev K, et al. (2020) Roadmap on emerging hardware and technology for machine learning. Nanotechnology
Gavrilov D, Strukov D, Likharev KK. (2018) Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Networks. Frontiers in Neuroscience. 12: 195
Merrikh-Bayat F, Guo X, Klachko M, et al. (2017) High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays. Ieee Transactions On Neural Networks and Learning Systems
Prezioso M, Zhong Y, Gavrilov D, et al. (2016) Spiking neuromorphic networks with metal-oxide memristors Proceedings - Ieee International Symposium On Circuits and Systems. 2016: 177-180
Prezioso M, Kataeva I, Merrikh-Bayat F, et al. (2016) Modeling and implementation of firing-rate neuromorphic-network classifiers with bilayer Pt/Al2O3/TiO2-x/Pt Memristors Technical Digest - International Electron Devices Meeting, Iedm. 2016: 17.4.1-17.4.4
Prezioso M, Merrikh Bayat F, Hoskins B, et al. (2016) Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors Scientific Reports. 6
Prezioso M, Merrikh-Bayat F, Hoskins BD, et al. (2015) Training and operation of an integrated neuromorphic network based on metal-oxide memristors. Nature. 521: 61-4
Bayat FM, Guo X, Om'Mani HA, et al. (2015) Redesigning commercial floating-gate memory for analog computing applications Proceedings - Ieee International Symposium On Circuits and Systems. 2015: 1921-1924
Merrikh-Bayat F, Prezioso M, Guo X, et al. (2015) Memory Technologies for Neural Networks 2015 Ieee 7th International Memory Workshop, Imw 2015
Simonian N, Likharev KK, Mayr A. (2013) Design and simulation of molecular nonvolatile single-electron resistive switches Journal of Applied Physics. 113
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