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This is a Quantitative Study study.

Impact of Device Materials on Neuromorphic Circuits

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This work demonstrates how innovative materials can improve energy efficiency and learning speed in neuromorphic circuits.

Innovative device materials improve power consumption and learning speed in neuromorphic circuits.
Zein-based memristive synapses offer a sustainable solution for wearable systems by combining flexibility and biocompatibility.
Low-dimensional nanomaterials achieve ultra-low-energy storage, outperforming traditional CMOS in efficiency.
Electrochemical random-access memory ensures non-volatile retention under varying conditions, meeting low-power requirements.

Yiming Feng (2025) studied this question.

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