ML Wei, M Yayla, SY Ho, JJ Chen… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Solving constraint satisfaction problems (CSPs) is in high demand for various applications. SNN serves as a competitive annealing machine that can solve the CSP more efficiently …
Y Qin, Z Wang, Y Ling, Y Cai, R Huang - Electronics, 2021 - mdpi.com
Resistive random-access memory (RRAM) with the ability to store and process information has been considered to be one of the most promising emerging devices to emulate synaptic …
A spiking neural network (SNN) with non-volatile memory synapses can facilitate an ideal analog approach with low power consumption for intelligent applications. However …
Y Zhang, X Zhao, X Ma, Y Liu, X Zhou, M Zhang… - Science China …, 2022 - Springer
Resistive switching random access memory (RRAM) is one of the most promising candidates with high-density three-dimensional integration characteristics for next …
WJ Lee, B Kim, M Koo, Y Kim - ACS Applied Electronic Materials, 2024 - ACS Publications
Resistive random-access memory (RRAM) has garnered attention as a synaptic device for neuromorphic systems. However, RRAM typically suffers from various issues, such as a high …
Y Hao, Y Zhang, Z Wu, X Zhang, T Shi… - Journal of …, 2022 - iopscience.iop.org
Resistive switching random access memory (RRAM) is considered as one of the potential candidates for next-generation memory. However, obtaining an RRAM device with …
Y Qin, Z Wang, Q Chen, Y Ling, L Wu… - 2021 China …, 2021 - ieeexplore.ieee.org
In this work, the influence of localized metal ion doping on the uniformity and analog behavior in TaOx-based RRAM is investigated. Experimental results show that Al ion local …