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November 30, 2025Small5 citations

2D Material‐Based Memristor Arrays for Flexible and Thermally Stable Neuromorphic Applications

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SJSeunghyeon JiJKJeong-Keun KimJHJuyeong Hong

Key Points

  • The device shows stable switching characteristics under mechanical bending, achieving high performance in neuromorphic computing.
  • Experimental results indicate that graphene helps suppress metal ion diffusion, crucial for device reliability and thermal durability.
  • Observational analysis demonstrates the effectiveness of an engineered Al2O3/MoS2/graphene heterostructure for flexible electronics.
  • Highlights the potential of this design strategy to enable multifunctional memristors for brain-inspired applications.

Abstract

Abstract The practical implementation of 2D material‐based memristors for various applications, such as neuromorphic computing and flexible electronics, faces several challenges in scalability and thermal durability. Here, a large‐area, flexible, and thermally durable electrochemical metallization memristor array is demonstrated based on an engineered Al 2 O 3 /MoS 2 /graphene heterostructure. A thin Al 2 O 3 layer and graphene serve as dual barriers, effectively suppressing the unintentional metal ion diffusion that typically degrades device reliability under thermal and electrical stress. The fabricated device exhibits excellent uniformity across a 2‐inch wafer and maintains stable switching characteristics under mechanical bending down to a 1 mm radius. Finally, simulations based on the device's experimental characteristics confirm its high potential for neuromorphic computing systems, achieving high pattern recognition accuracy. This study provides a comprehensive design strategy for realizing highly reliable, multifunctional memristors for future brain‐inspired and flexible electronics.

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Cite This Study

Ji et al. (2025) studied this question.

synapsesocial.com/papers/692b9d9a1d383f2b2a37a0d1https://doi.org/10.1002/smll.202507845
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