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Memristive Devices and Systems: Modelling, Properties & Applications

This reprint presents the Special Issue on “Memristive Devices and Systems: Modeling, Properties, and Applications”. The Special Issue provides a comprehensive overview of key computational primitives enabled by these memory devices, as well as their applications, spanning edge computing, signal pro...

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Uloženo v:
Médium: Online
Jazyk:angličtina
Vydáno: MDPI - Multidisciplinary Digital Publishing Institute 2023
Témata:
memristor
history erase effect
dynamic route
power-off plot
RRAM
1T-1R
multilevel
compact modeling
Verilog-A
artificial neural network
chaos
fractional-order calculus
memristor model
coexisting attractors
Adomian decomposition method
VO2 carbon nanotube composite memristor
cellular neural network (CNN)
von Neumann structure
local activity
edge of chaos
emulator
gyrator
memcapacitor
meminductor
memristors
memristive systems
integrated storage and computation
image processing
the edge of chaos
Hopfield neural network
synaptic crosstalk
coexisting dynamics
optoelectronic memristor
composite circuit
multi-valued logic
rotation mechanism
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
On-line přístup:ONIX_20230405_9783036566887_83
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Shrnutí:This reprint presents the Special Issue on “Memristive Devices and Systems: Modeling, Properties, and Applications”. The Special Issue provides a comprehensive overview of key computational primitives enabled by these memory devices, as well as their applications, spanning edge computing, signal processing, optimization, machine learning, deep learning, stochastic computing, and so on. The memristor is considered to be a promising candidate for next-generation computing systems due to its nonvolatility, high density, low power, nanoscale geometry, nonlinearity, binary/multiple memory capacity, and negative differential resistance. Novel computing architectures/systems based on memristors have shown great potential to replace the traditional von Neumann computing architecture, which faces data movement challenges. With the development of material science, novel preparation and modeling methods for different memristive devices have been put forward recently, which opens up a new path for realizing different computing systems/architectures with practical memristor properties.

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