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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
Autore Suñé Jordi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (244 p.)
Soggetto non controllato graphene oxide
artificial neural network
simulation
neural networks
STDP
neuromorphics
spiking neural network
artificial intelligence
hierarchical temporal memory
synaptic weight
optimization
transistor-like devices
multiscale modeling
memristor crossbar
spike-timing-dependent plasticity
memristor-CMOS hybrid circuit
pavlov
wire resistance
AI
neocortex
synapse
character recognition
resistive switching
electronic synapses
defect-tolerant spatial pooling
emulator
compact model
deep learning networks
artificial synapse
circuit design
memristors
neuromorphic engineering
memristive devices
OxRAM
neural network hardware
sensory and hippocampal responses
neuromorphic hardware
boost-factor adjustment
RRAM
variability
Flash memories
neuromorphic
reinforcement learning
laser
memristor
hardware-based deep learning ICs
temporal pooling
self-organization maps
crossbar array
pattern recognition
strongly correlated oxides
vertical RRAM
autocovariance
neuromorphic computing
synaptic device
cortical neurons
time series modeling
spiking neural networks
neuromorphic systems
synaptic plasticity
ISBN 3-03928-577-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404090703321
Suñé Jordi  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nanoelectronic Materials, Devices and Modeling
Nanoelectronic Materials, Devices and Modeling
Autore Li Qiliang
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (242 p.)
Soggetto non controllato quantum mechanical
neuromorphic computation
off-current (Ioff)
double-gate tunnel field-effect-transistor
topological insulator
back current blocking layer (BCBL)
CMOS power amplifier IC
information integration
distributed Bragg
spike-timing-dependent plasticity
electron affinity
enhancement-mode
current collapse
gallium nitride (GaN)
band-to-band tunneling
vertical field-effect transistor (VFET)
ionic liquid
luminescent centres
thermal coupling
vision localization
PC1D
UAV
ZnO/Si
dual-switching transistor
memristor
field-effect transistor
higher order synchronization
shallow trench isolation (STI)
memristive device
on-current (Ion)
low voltage
reflection transmision method
dielectric layer
source/drain (S/D)
high efficiency
nanostructure synthesis
InAlN/GaN heterostructure
supercapacitor
high-electron mobility transistor (HEMTs)
heterojunction
p-GaN
recessed channel array transistor (RCAT)
gate field effect
charge injection
saddle FinFET (S-FinFET)
L-shaped tunnel field-effect-transistor
conductivity
energy storage
hierarchical
PECVD
sample grating
MISHEMT
bistability
threshold voltage (VTH)
bandgap tuning
oscillatory neural networks
UV irradiation
Mott transition
third harmonic tuning
topological magnetoelectric effect
cross-gain modulation
2D material
solar cells
silicon on insulator (SOI)
Green's function
optoelectronic devices
semiconductor optical amplifier
ZnO films
graphene
AlGaN/GaN
polarization effect
two-photon process
conductive atomic force microscopy (cAFM)
2DEG density
vanadium dioxide
interface traps
potential drop width (PDW)
pattern recognition
drain-induced barrier lowering (DIBL)
atomic layer deposition (ALD)
normally off power devices
gate-induced drain leakage (GIDL)
insulator-metal transition (IMT)
zinc oxide
synaptic device
subthreshold slope (SS)
landing
silicon
corner-effect
conditioned reflex
quantum dot
gallium nitride
bismuth ions
conduction band offset
variational form
ISBN 3-03921-226-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346664303321
Li Qiliang  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui