Correlation of natural honey-based RRAM processing and switching properties by experimental study and machine learning

Brandon Sueoka,Abdi Yamil Vicenciodelmoral,Md Mehedi Hasan Tanim,Xinghui Zhao,Feng Zhao

Solid-State Electronics（2022）

Cited 5|Views10

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Abstract

•Natural honey-based RRAM devices were fabricated by different process conditions.•Resistive switching properties were tested and correlated with process conditions.•SET and RESET voltages were used as dataset to train machine learning algorithms.•Four machine learning models obtained 90% accuracy to predict SET voltages.

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Key words

Honey,Nonvolatile memory,Artificial synaptic device,Neuromorphic systems,Resistive switching memory,Machine learning

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