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September 10, 2025Applied Physics Letters0 citations

Self-Rectifying Memristors Based on AlScN for Neuromorphic Computing Applications

Self-rectifying memristors based on epitaxial AlScN for neuromorphic computing

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Authors

ZWZ. WangJZJiahe ZhangGJGang Jia

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Overview

This work demonstrates enhanced switching ratios and synaptic plasticity in AlScN memristors, indicating their potential for neuromorphic computing.

Key Points

  • The memristor achieves a switching ratio of about 100, enhancing its effectiveness in neuromorphic systems.
  • The stability of the device is maintained even after 1000 consecutive I-V scans, underscoring reliability in practical applications.
  • Using a CMOS-compatible process, the ferroelectric properties of the AlScN films were optimized through controlled doping.
  • A trajectory-based STDP circuit model was developed, enabling spiking neural networks to recognize flight markers during drone deployment.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68c1a40254b1d3bfb60de587https://doi.org/10.1063/5.0251575
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