[PDF][PDF] Volatile and nonvolatile memory devices for neuromorphic and processing-in-memory applications
S Cho - J Semicond Technol Sci, 2022 - journal.auric.kr
The motivation for driving semiconductor devices can be found in the development of
advanced computers which can contribute to the betterment in our daily lives. The …
advanced computers which can contribute to the betterment in our daily lives. The …
Memristor fabrication through printing technologies: a review
Memristor got a significant attraction to be the next generation memory device due to its
small size, simple architecture, high density, and low power consumption. A memristor is a …
small size, simple architecture, high density, and low power consumption. A memristor is a …
Noise-induced resistive switching in a memristor based on ZrO2 (Y)/Ta2O5 stack
DO Filatov, DV Vrzheshch, OV Tabakov… - Journal of Statistical …, 2019 - iopscience.iop.org
Resistive switching (RS) is studied in a memristor based on a ZrO 2 (Y)/Ta 2 O 5 stack under
a white Gaussian noise voltage signal. We have found that the memristor switches between …
a white Gaussian noise voltage signal. We have found that the memristor switches between …
Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights
AV Emelyanov, KE Nikiruy, AV Serenko… - …, 2019 - iopscience.iop.org
Neuromorphic systems consisting of artificial neurons and memristive synapses could
provide a much better performance and a significantly more energy-efficient approach to the …
provide a much better performance and a significantly more energy-efficient approach to the …
Implementation of a reservoir computing system using the short-term effects of Pt/HfO2/TaOx/TiN memristors with self-rectification
H Ryu, S Kim - Chaos, Solitons & Fractals, 2021 - Elsevier
Given the limitations of von Neumann computing systems, we propose a high-performance
reservoir computing system as an alternative. These systems operate as neural networks …
reservoir computing system as an alternative. These systems operate as neural networks …
Neuronal dynamics in HfO x/AlO y-based homeothermic synaptic memristors with low-power and homogeneous resistive switching
We studied the pseudo-homeothermic synaptic behaviors by integrating complimentary
metal–oxide–semiconductor-compatible materials (hafnium oxide, aluminum oxide, and …
metal–oxide–semiconductor-compatible materials (hafnium oxide, aluminum oxide, and …
Electroluminescent synaptic devices with logic functions
The incorporation of light into synaptic devices for neuromorphic computing with low energy
consumption and high intelligence is greatly inspired by the development of optogenetics in …
consumption and high intelligence is greatly inspired by the development of optogenetics in …
Synaptic characteristics of amorphous boron nitride-based memristors on a highly doped silicon substrate for neuromorphic engineering
J Lee, JH Ryu, B Kim, F Hussain… - … applied materials & …, 2020 - ACS Publications
In this study, the resistive switching and synaptic properties of a complementary metal-oxide
semiconductor-compatible Ti/a-BN/Si device are investigated for neuromorphic systems. A …
semiconductor-compatible Ti/a-BN/Si device are investigated for neuromorphic systems. A …
Scalable nanocomposite parylene-based memristors: Multifilamentary resistive switching and neuromorphic applications
AN Matsukatova, AY Vdovichenko, TD Patsaev… - Nano Research, 2023 - Springer
Memristors are promising candidates for synapse emulation in brain-inspired neuromorphic
computing systems. The main obstacle to their usage in such systems is high variability of …
computing systems. The main obstacle to their usage in such systems is high variability of …
Zinc tin oxide synaptic device for neuromorphic engineering
Neuromorphic computing offers parallel data processing and low energy consumption and
can be useful to replace conventional von Neumann computing. Memristors are two-terminal …
can be useful to replace conventional von Neumann computing. Memristors are two-terminal …