All Outputs (3)

Optically Controlled Memristor Using Hybrid ZnO Nanorod/Polymer Material (2023)
Conference Proceeding
Jaafar, A. H., & Kemp, N. T. (2023). Optically Controlled Memristor Using Hybrid ZnO Nanorod/Polymer Material. In NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures. https://doi.org/10.1145/3611315.3633257

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.

Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots (2023)
Conference Proceeding
Gater, M., Adawi, A., & Kemp, N. (2023). Enhanced Switching in Solid Polymer Electrolyte Memristor Devices via the addition of Interfacial Barriers and Quantum Dots. In NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures. https://doi.org/10.1145/3611315.3633275

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.

Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection (2023)
Conference Proceeding
Burton, H., Bouillard, J. S., & Kemp, N. (2023). Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection. In 2023 IEEE International Symposium on Circuits and Systems (ISCAS). https://doi.org/10.1109/iscas46773.2023.10181552

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.