Molecular-Layer-Deposited Amino Acid Hybrid Memristor: Bilayer Design Enabling Robust Synaptic Plasticity and Image Recognition

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Fabrication of a memristor achieving 93.7% image recognition in a neural network, suggesting advancements in neuromorphic computing.

Achieves retention and emulates synaptic plasticity, including long-term potentiation and long-term depression.
The memristor shows over 93% accuracy recognizing handwritten digits in the MNIST dataset.
Construction used molecular layer deposition to enhance performance and stability of the device structure.
These advancements may improve energy-efficient neuromorphic hardware for future applications.

Zhu et al. (2025) studied this question.

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View Full Paper

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Fabrication of a memristor achieving 93.7% image recognition in a neural network, suggesting advancements in neuromorphic computing.

Achieves retention and emulates synaptic plasticity, including long-term potentiation and long-term depression.
The memristor shows over 93% accuracy recognizing handwritten digits in the MNIST dataset.
Construction used molecular layer deposition to enhance performance and stability of the device structure.
These advancements may improve energy-efficient neuromorphic hardware for future applications.

Zhu et al. (2025) studied this question.

View Full Paper

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Bookmark