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

Solid-State Electronics(2022)

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摘要
•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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关键词
Honey,Nonvolatile memory,Artificial synaptic device,Neuromorphic systems,Resistive switching memory,Machine learning
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