Publications

Affichage de 3141 à 3150 sur 15818


  • Article dans une revue

Enhanced electrocatalytic hydrogen evolution on a plasmonic electrode: the importance of the Ti/TiO2 adhesion layer

Liuqing Pang, Alexandre Barras, Vladyslav Mishyn, Georgiana Sandu, Sorin Melinte, Palaniappan Subramanian, Rabah Boukherroub, Sabine Szunerits

Journal of Materials Chemistry A, 2020, 8 (28), pp.13980-13986. ⟨10.1039/d0ta02353a⟩. ⟨hal-03090016⟩

  • Communication dans un congrès

[Keynote] Transdermal drug delivery: Beyond the state of the art

Rabah Boukherroub

48 th International Virtual Learning Series,, Arulmigu Kalasalingam College of Pharmacy, Jul 2020, Tamilnadu, India. ⟨hal-04620347⟩

  • Communication dans un congrès

Short term reliability and robustness of ultra-thin barrier, 110 nrn-gate AlN/GaN HEMTs

Zhan Gao, Matteo Meneghini, Kathia Harrouche, Riad Kabouche, Francesca Chiocchetta, Etienne Okada, Fabiana Rampazzo, Carlo de Santi, F Medjdoub, Gaudenzio Meneghesso, Enrico Zanoni

Short-term reliability and robustness of 110 nm AlN/GaN HEMTs has been evaluated by means off-state, semi-on state and on-state step stress tests on devices having different gate-drain distance, LGD. While breakdown voltages and critical voltages scale almost linearly with LGD, failure mode remains…

2020 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA), Jul 2020, Singapour, Singapore. pp.1-6, ⟨10.1109/IPFA49335.2020.9260793⟩. ⟨hal-03043453⟩

  • Communication dans un congrès

Neuroattack: undermining spiking neural networks security through externally triggered bit-flips

Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Noman Shafique

Due to their proven efficiency, machine-learning systems are deployed in a wide range of complex real-life problems. More specifically, Spiking Neural Networks (SNNs) emerged as a promising solution to the accuracy, resource-utilization, and energy-efficiency challenges in machine-learning systems…

International Joint Conference on Neural Networks (IJCNN 2020), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/IJCNN48605.2020.9207351⟩. ⟨hal-03166289⟩

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