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Dynamical memristors for higher-complexity neuromorphic computing
Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …
of transistor scaling and the exponential growth of computing needs, which make present …
Volatile and nonvolatile memristive devices for neuromorphic computing
Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …
endow memristors with a physically tunable conductance to resemble synapses, neurons …
Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
Conventional imaging and recognition systems require an extensive amount of data storage,
pre-processing, and chip-to-chip communications as well as aberration-proof light focusing …
pre-processing, and chip-to-chip communications as well as aberration-proof light focusing …
[HTML][HTML] Advances of RRAM devices: Resistive switching mechanisms, materials and bionic synaptic application
Resistive random access memory (RRAM) devices are receiving increasing extensive
attention due to their enhanced properties such as fast operation speed, simple device …
attention due to their enhanced properties such as fast operation speed, simple device …
Vertical organic synapse expandable to 3D crossbar array
Recently, three-terminal synaptic devices have attracted considerable attention owing to
their nondestructive weight-update behavior, which is attributed to the completely separated …
their nondestructive weight-update behavior, which is attributed to the completely separated …
The gate injection-based field-effect synapse transistor with linear conductance update for online training
Neuromorphic computing, an alternative for von Neumann architecture, requires synapse
devices where the data can be stored and computed in the same place. The three-terminal …
devices where the data can be stored and computed in the same place. The three-terminal …
Ferroelectric tunneling junctions based on aluminum oxide/zirconium-doped hafnium oxide for neuromorphic computing
Ferroelectric tunneling junctions (FTJs) with tunable tunneling electroresistance (TER) are
promising for many emerging applications, including non-volatile memories and …
promising for many emerging applications, including non-volatile memories and …
Neural-inspired artificial synapses based on low-voltage operated organic electrochemical transistors
Artificial synaptic devices that emulate the neural functionalities of the human brain have
received research attention owing to their inherent ability to build brain-like computing …
received research attention owing to their inherent ability to build brain-like computing …
Variability-aware modeling of filamentary oxide-based bipolar resistive switching cells using SPICE level compact models
C Bengel, A Siemon, F Cüppers… - … on Circuits and …, 2020 - ieeexplore.ieee.org
Bipolar resistive switching (BRS) cells based on the valence change mechanism show great
potential to enable the design of future non-volatile memory, logic and neuromorphic circuits …
potential to enable the design of future non-volatile memory, logic and neuromorphic circuits …
Filament‐free bulk resistive memory enables deterministic analogue switching
Digital computing is nearing its physical limits as computing needs and energy consumption
rapidly increase. Analogue‐memory‐based neuromorphic computing can be orders of …
rapidly increase. Analogue‐memory‐based neuromorphic computing can be orders of …