All Outputs (3)

Detection in near-field domain of biomolecules adsorbed on a single metallic nanoparticle
Presentation / Conference Contribution
Barbillon, G., Bijeon, J. L., Bouillard, J. S., Plain, J., Lamy De La Chapelle, M., Adam, P. M., & Royer, P. Detection in near-field domain of biomolecules adsorbed on a single metallic nanoparticle

In this paper, we study the performances of nanosensors based on Localized Surface Plasmon Resonance in the context of biological sensing. We demonstrate the sensitivity and the selectivity of our designed nanosensors by studying the influence of the... Read More about Detection in near-field domain of biomolecules adsorbed on a single metallic nanoparticle.

Experimental characteristics and analysis of transverse modes in 1.3 μm strained InGaAs quantum well VCSELs
Presentation / Conference Contribution
Pougeoise, E., Gilet, P., Grosse, P., Poncet, S., Chelnokov, A., Gérard, J. M., Bourgeois, G., Stevens, R., Hamelin, R., Hammar, M., Berggren, J., Sundgren, P., Vilain, S., Bouillard, J. S., Lerondel, G., Bachelot, R., & Royer, P. Experimental characteristics and analysis of transverse modes in 1.3 μm strained InGaAs quantum well VCSELs

In the context of optical interconnection applications, we report on results obtained on strained InGaAs quantum well Vertical Cavity Surface Emitting Lasers (VCSELs). Our devices are top p-type DBR oxide-confined VCSEL, grown by metalorganic vapour-... Read More about Experimental characteristics and analysis of transverse modes in 1.3 μm strained InGaAs quantum well VCSELs.

Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection
Presentation / Conference Contribution
Burton, H., Bouillard, J. S., & Kemp, N. Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection. Presented at 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 21-25 May 2023, Monterey, CA, USA

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.