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Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection (2023)
Journal Article
Burton, H., Bouillard, J. S., & Kemp, N. (in press). Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection. IEEE International Symposium on Circuits and Systems, 2023, 1-5. https://doi.org/10.1109/ISCAS46773.2023.10181552

The UK offshore wind industry is rapidly growing to meet CO2 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. Lon... Read More about Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection.

An Optically-Programmable Absorbing Metasurface (2018)
Journal Article
Kossifos, K. M., Antoniades, M. A., Georgiou, J., Jaafar, A. H., & Kemp, N. T. (2018). An Optically-Programmable Absorbing Metasurface. IEEE International Symposium on Circuits and Systems, 2018-May, https://doi.org/10.1109/ISCAS.2018.8351874

A tunable metasurface absorber is presented in this work using an optically-programmable capacitor as the tuning element. The tuning element does not employ conventional semiconductor technologies to operate but rather a bases its tuning by changing... Read More about An Optically-Programmable Absorbing Metasurface.

Chua mem-components for adaptive RF metamaterials (2018)
Journal Article
Georgiou, J., Kossifos, K. M., Antoniades, M. A., Jaafar, A., & Kemp, N. T. (2018). Chua mem-components for adaptive RF metamaterials. IEEE International Symposium on Circuits and Systems, 2018-May, https://doi.org/10.1109/ISCAS.2018.8351852

Chua's mem-components are ideal for creating adaptive metasurfaces for manipulating EM waves given that they hold their state without external biases. In this paper, we propose a generic adaptive reactive element that is in fact a memcapacitor/memind... Read More about Chua mem-components for adaptive RF metamaterials.