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Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films (2025)
Journal Article
Jaafar, A. H., Hussein, H., Zhang, T., Zhelev, N., Kemp, N. T., Reid, G., de Groot, K., Bartlett, P. N., & Huang, R. (2025). Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films. Advanced Materials Technologies, Article 2500168. https://doi.org/10.1002/admt.202500168

Chalcogenide materials are promising candidates for next generation memories since they can be stacked to integrate both two-terminal non-volatile memory and volatile selector devices for large-scale-integration crossbar arrays. Traditionally, device... Read More about Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films.

Unique Coexistence of Two Resistive Switching Modes in a Memristor Device Enables Multifunctional Neuromorphic Computing Properties (2024)
Journal Article
Jaafar, A. H., Al Habsi, S. K. S., Braben, T., Venables, C., Francesconi, M. G., Stasiuk, G. J., & Kemp, N. T. (2024). Unique Coexistence of Two Resistive Switching Modes in a Memristor Device Enables Multifunctional Neuromorphic Computing Properties. ACS Applied Materials and Interfaces, 16(33), 43816-43826. https://doi.org/10.1021/acsami.4c07820

We report on hybrid memristor devices consisting of germanium dioxide nanoparticles (GeO2 NP) embedded within a poly(methyl methacrylate) (PMMA) thin film. Besides exhibiting forming-free resistive switching and an uncommon “ON” state in pristine con... Read More about Unique Coexistence of Two Resistive Switching Modes in a Memristor Device Enables Multifunctional Neuromorphic Computing Properties.

Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots (2023)
Presentation / Conference Contribution
Gater, M., Adawi, A., & Kemp, N. (2023, December). Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots. Presented at NANOARCH '23: 18th ACM International Symposium on Nanoscale Architectures, Dresden, Germany

We report on the electrical effects of single and double polymer (polymethacrylate) barriers on polyethylene oxide (PEO) based memristors. The single barrier device with an active layer embedded with WS2 quantum dots is also investigated. The additio... Read More about Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots.

Optically Controlled Memristor Using Hybrid ZnO Nanorod/Polymer Material (2023)
Presentation / Conference Contribution
Jaafar, A. H., & Kemp, N. T. (2023, December). Optically Controlled Memristor Using Hybrid ZnO Nanorod/Polymer Material. Presented at NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, Dresden, Germany

Controlling of resistive switching properties by optical means opens the route to new optoelectronics that can be written optically and read electronically. In this work, we demonstrate optically controlled memristors realized with a hybrid material... Read More about Optically Controlled Memristor Using Hybrid ZnO Nanorod/Polymer Material.

Printed and flexible organic and inorganic memristor devices for non-volatile memory applications (2023)
Journal Article
Jaafar, A. H., Gee, A., & Kemp, N. T. (2023). Printed and flexible organic and inorganic memristor devices for non-volatile memory applications. Journal of Physics D: Applied Physics, 56(50), Article 503002. https://doi.org/10.1088/1361-6463/acfaaa

The electronics market is highly competitive and driven by consumers desire for the latest and most sophisticated devices at the lowest cost. In the last decade there has been increasing interest in printing electronic materials on lightweight and fl... Read More about Printed and flexible organic and inorganic memristor devices for non-volatile memory applications.

Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection (2023)
Presentation / Conference Contribution
Burton, H., Bouillard, J. S., & Kemp, N. (2023, May). Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection. Presented at 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, USA

The UK offshore wind industry is rapidly growing to meet CO 2 emission targets. However, the main drawback of the offshore environment is the increased cost of maintenance. Artificial Neural Networks (ANN) show great potential to reduce this cost. Lo... Read More about Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection.

Optoelectronic Switching Memory Based on ZnO Nanoparticle/Polymer Nanocomposites (2023)
Journal Article
Jaafar, A. H., Lowe, C., Gee, A., & Kemp, N. T. (2023). Optoelectronic Switching Memory Based on ZnO Nanoparticle/Polymer Nanocomposites. ACS Applied Polymer Materials, 5(4), 2367-2373. https://doi.org/10.1021/acsapm.2c02034

Optoelectronic switching memories are emerging as practical candidates for applications of optically tunable neuromorphic computing systems and artificial vision systems. Here, we report on the fabrication of an optoelectronic switching memory device... Read More about Optoelectronic Switching Memory Based on ZnO Nanoparticle/Polymer Nanocomposites.

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.