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3D-structured mesoporous silica memristors for neuromorphic switching and reservoir computing (2022)
Journal Article
Jaafar, A. H., Shao, L., Dai, P., Zhang, T., Han, Y., Beanland, R., Kemp, N. T., Bartlett, P. N., Hector, A. L., & Huang, R. (2022). 3D-structured mesoporous silica memristors for neuromorphic switching and reservoir computing. Nanoscale, 14(46), 17170-17181. https://doi.org/10.1039/d2nr05012a

Memristors are emerging as promising candidates for practical application in reservoir computing systems that are capable of temporal information processing. Here, we experimentally implement a physical reservoir computing system using resistive memr... Read More about 3D-structured mesoporous silica memristors for neuromorphic switching and reservoir computing.

Optical Memristors: Review of Switching Mechanisms and New Computing Paradigms (2022)
Book Chapter
Gee, A., Jaafar, A. H., & Kemp, N. T. (2022). Optical Memristors: Review of Switching Mechanisms and New Computing Paradigms. In L. O. Chua, R. Tetzlaff, & A. Slavova (Eds.), Memristor Computing Systems (219-244). Springer International Publishing. https://doi.org/10.1007/978-3-030-90582-8_10

Memristors are known for their low-power non-volatile memory operation, high scalability and simple two-terminal geometry. Their ability to emulate the analogue switching and learning properties of biological synapses has also emerged as a significan... Read More about Optical Memristors: Review of Switching Mechanisms and New Computing Paradigms.