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Robust and Large-Area Memristor Arrays Based on Encapsulated 2D van der Waals Heterostructures
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DOI：10.1002/admt.71229.png)
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Abstract
En 中文
The integration of memristors with 2D materials promises a comprehensive hardware revolution for computational power and energy efficiency in artificial intelligence through in-memory and neuromorphic computing. Here, we report robust, large-area HfO2/WS2-xOx/graphene memristor arrays fabricated via a scalable electrochemical deposition (ECD) and atomic layer deposition (ALD) process. The devices exhibit an ultralow areal energy density of 44 pJ/µm2, switching speed below 300 ns, endurance exceeding 109 cycles, and reliable operation from −100°C to 400°C. Systematic characterizations confirm the high crystallinity and uniform encapsulation of the 2D vertical heterostructures. Furthermore, the memristors emulate key synaptic functions (LTP, LTD, and STDP) with near-linear conductance modulation, enabling hardware-level convolutional neural networks that achieve 84% accuracy on CIFAR-10 and effective sparse coding for feature extraction. These results establish encapsulated 2D van der Waals heterostructures (2D vdWHs) memristor arrays as a promising platform for high-density, energy-efficient, and harsh-environment neuromorphic computing systems.
Keywords:
2D van der Waals heterostructures
HfO2/WS2-xOx/graphene
high-temperature memristors
memristor arrays
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