Paper Info
Title
Unconventional computing with diffusive memristors
Abstract
Diffusive memristors with Ag active metal species are volatile threshold switches featuring spontaneous rupture of conduction channels at small electrical bias. The unique temporal dynamics of the conductance evolution originates from the underlying electrochemical and diffusive dynamics of the active metals in dielectrics, which can be explored for a variety of novel applications in unconventional computing. The superior I-V nonlinearity enables large crossbar arrays for high density non-volatile memories. The relaxation dynamics and the delay dynamics of the conductance evolution lead to faithful synaptic emulators and single-device threshold logic neurons, respectively. Unsupervised learning has been demonstrated with a fully memristive neural network consisting of these artificial synapses and neurons for the first time. In addition, the intrinsic stochasticity of the delay mechanism has been used to realize a true random number generators for security solutions.
Year
DOI
Venue
2018
10.1109/ISCAS.2018.8351882
2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Keywords
Field
DocType
diffusive memristor,threshold switch,unconventional computing,artificial synapse,artificial neuron
Topology,Memristor,Nonlinear system,Unconventional computing,Computer science,Electronic engineering,Conductance,Random number generation,Artificial neural network,Crossbar switch,Biasing
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-5386-4882-7
0
PageRank 
References 
Authors
0.34
0
13
Name
Order
Citations
PageRank
Zhongrui Wang111.02
Rivu Midya200.68
Saumil Joshi321.10
Hao Jiang4193.18
Can Li5113.00
Peng Lin6111.98
Wenhao Song7102.30
Mingyi Rao891.62
Yunning Li9101.62
Mark Barnell10988.96
Qing Wu1137434.70
Qiangfei Xia12206.05
Jianhua Joshua Yang13493.10