Additive-Engineered CsPbBr3-Based Perovskite Memristors for Neuromorphic Computing and Associative Learning Applications

Xie Z, Wu J, Tian J, Li C, Zhang D, Chen L, Loi MA, Osvet A, Brabec C (2025)

Publication Type: Journal article

Publication year: 2025

Journal

Book Volume: 17

Pages Range: 53704-53715

Journal Issue: 38

DOI: 10.1021/acsami.5c10525

Abstract

Perovskite memristors have emerged as promising candidates for neuromorphic computing due to their simple fabrication process and mixed ionic and electronic properties. Among them, all-inorganic CsPbBr3perovskites have garnered significant interest due to their excellent stability. However, the low solubility of cesium bromide (CsBr) in most common solvents poses a major challenge in fabricating high-quality, pinhole-free CsPbBr3films for memory device applications using a convenient one-step solution method. In this work, a facile one-step spin-coating approach was employed to fabricate CsPbBr3-based memristors, incorporating a carbohydrazide (CBH) additive into the perovskite precursor to enhance device performance. The modified device exhibited an improved ON/OFF ratio, enhanced endurance, and longer retention time. Furthermore, it successfully emulated key synaptic functions, including excitatory postsynaptic current, paired-pulse facilitation, long-term potentiation/depression, and learning–forgetting–relearning behaviors, effectively mimicking biological synapses. Additionally, an associative learning experiment inspired by Pavlov’s dog experiment was conducted, demonstrating memory formation and extinction under optical and electrical stimuli. The fabricated perovskite memristor was further evaluated in a convolutional neural network for Fashion MNIST classification, achieving a high recognition accuracy of 89.07%, confirming its potential for neuromorphic computing applications. This study highlights the effectiveness of additive engineering as a strategy for developing high-performance perovskite-based neuromorphic electronics.

Authors with CRIS profile

Involved external institutions

South China University of Technology (SCUT) / 华南理工大学 China (CN) University of Groningen / Rijksuniversiteit Groningen Netherlands (NL)

How to cite

APA:

Xie, Z., Wu, J., Tian, J., Li, C., Zhang, D., Chen, L.,... Brabec, C. (2025). Additive-Engineered CsPbBr3-Based Perovskite Memristors for Neuromorphic Computing and Associative Learning Applications. ACS Applied Materials and Interfaces, 17(38), 53704-53715. https://doi.org/10.1021/acsami.5c10525

MLA:

Xie, Zhiqiang, et al. "Additive-Engineered CsPbBr3-Based Perovskite Memristors for Neuromorphic Computing and Associative Learning Applications." ACS Applied Materials and Interfaces 17.38 (2025): 53704-53715.

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