Optoelectronic Artificial Synaptic Device Based on Amorphous InAlZnO Films for Learning Simulations.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c14029
Abstract: Neuromorphic computing, which mimics brain function, can address the shortcomings of the "von Neumann" system and is one of the critical components of next-generation computing. The use of light to stimulate artificial synapses has the… read more here.
Keywords: amorphous inalzno; synaptic devices; optoelectronic artificial; artificial synaptic ... See more keywords
Synaptic devices based on two-dimensional layered single-crystal chromium thiophosphate (CrPS4)
Sign Up to like & getrecommendations! Published in 2018 at "NPG Asia Materials"
DOI: 10.1038/s41427-018-0016-7
Abstract: Two-dimensional (2D) van der Waals (vdW) materials have recently attracted considerable attention due to their excellent electrical and mechanical properties. TmPSx (where Tm = a transition metal), which is a new class of 2D vdW materials, is… read more here.
Keywords: term; crps4; two dimensional; thiophosphate crps4 ... See more keywords
Organic synaptic devices based on ionic gel with reduced leakage current.
Sign Up to like & getrecommendations! Published in 2021 at "Chemical communications"
DOI: 10.1039/d0cc07488h
Abstract: In this work, we presented a solid-state hybrid electrolyte dielectric film fabricated by a facile solution process, composed of ionic liquid and high-k polymers for leakage current reduction. With ions involved in the dielectric, the… read more here.
Keywords: ionic gel; organic synaptic; based ionic; devices based ... See more keywords
Ferroelectric synaptic devices based on CMOS-compatible HfAlOx for neuromorphic and reservoir computing applications.
Sign Up to like & getrecommendations! Published in 2023 at "Nanoscale"
DOI: 10.1039/d3nr01294h
Abstract: The hafnium oxide-based ferroelectric tunnel junction (FTJ) has been actively researched because of desirable advantages such as low power and CMOS compatibility to operate as a memristor. In the case of HfAlOx (HAO), the remanent… read more here.
Keywords: synaptic devices; ferroelectric synaptic; devices based; reservoir ... See more keywords
Operation Scheme of Multi-Layer Neural Networks Using NAND Flash Memory as High-Density Synaptic Devices
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of the Electron Devices Society"
DOI: 10.1109/jeds.2019.2947316
Abstract: We propose a designing of multi-layer neural networks using 2D NAND flash memory cell as a high-density and reliable synaptic device. Our operation scheme eliminates the waste of NAND flash cells and allows analogue input… read more here.
Keywords: layer neural; flash memory; multi layer; synaptic devices ... See more keywords
Impact of Non-Ideal Characteristics of Resistive Synaptic Devices on Implementing Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2019.2933148
Abstract: Emerging non-volatile memory (eNVM) based resistive synaptic devices have shown great potential for implementing deep neural networks (DNNs). However, the eNVM devices typically suffer from various non-ideal effects which may degrade the performance of the… read more here.
Keywords: synaptic devices; accuracy; neural networks; non ideal ... See more keywords
Adaptive Weight Quantization Method for Nonlinear Synaptic Devices
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2018.2879821
Abstract: In this paper, we propose an adaptive quantization method that can easily transfer the weights, which are trained in software network with floating point operation, to the real synaptic devices in hardware-based neural networks and… read more here.
Keywords: tex math; quantization; synaptic devices; inline formula ... See more keywords
Investigation of Deep Spiking Neural Networks Utilizing Gated Schottky Diode as Synaptic Devices
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13111800
Abstract: Deep learning produces a remarkable performance in various applications such as image classification and speech recognition. However, state-of-the-art deep neural networks require a large number of weights and enormous computation power, which results in a… read more here.
Keywords: synaptic devices; neural networks; deep spiking; spiking neural ... See more keywords
Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems
Sign Up to like & getrecommendations! Published in 2023 at "Micromachines"
DOI: 10.3390/mi14020235
Abstract: Natural organic materials such as protein and carbohydrates are abundant in nature, renewable, and biodegradable, desirable for the construction of artificial synaptic devices for emerging neuromorphic computing systems with energy efficient operation and environmentally friendly… read more here.
Keywords: synaptic devices; neuromorphic computing; natural organic; organic materials ... See more keywords