International Conference on Micro- And Nano-Electronics 2018 2019
DOI: 10.1117/12.2522322
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Nanoscale profiling and memristor effect of ZnO thin films for RRAM and neuromorphic devices application

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Cited by 4 publications
(2 citation statements)
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“…Currently, further increases in the efficiency of big-data processing are limited by the resolution and the cost of manufacturing complementary metal oxide semiconductor (CMOS) transistors less than 10 nanometers in size, creating the difficulty of sustainable and cost-effective scaling [ 7 , 8 ]. Therefore, there is a need to develop and research a new base of non-volatile elements of electronics with increased computational efficiency, which would meet the requirements of the information-technology market [ 9 , 10 , 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…Currently, further increases in the efficiency of big-data processing are limited by the resolution and the cost of manufacturing complementary metal oxide semiconductor (CMOS) transistors less than 10 nanometers in size, creating the difficulty of sustainable and cost-effective scaling [ 7 , 8 ]. Therefore, there is a need to develop and research a new base of non-volatile elements of electronics with increased computational efficiency, which would meet the requirements of the information-technology market [ 9 , 10 , 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…To implement the operation of a neuron at the hardware level, a number of requirements are imposed on the element base in terms of energy efficiency, as well as the presence of non-volatility and multibit properties (the ability of an element to take three or more stable states). One of the ways to implement a neuromorphic system at the hardware level is to manufacture an array of memristors using cross-bar technology [ 22 , 23 , 24 ]. In this case, each memristor will act as a biological neuron, and the connecting contact will act as a synapse.…”
Section: Introductionmentioning
confidence: 99%