Publications

Affichage de 6041 à 6050 sur 16549


  • Article dans une revue

International Summer School, Lille Report

Raffaele Pisano

Viewpoint, 2017, 110 (6), pp.13-14. ⟨hal-04509329⟩

  • Article dans une revue

Influence of neutron irradiation on electron traps induced by NGB stress in AlInN/GaN HEMTs

Sébastien Petitdidier, Yannick Guhel, Guillaume Brocero, Philippe Eudeline, Jean-Lionel Trolet, Patrick Mary, Christophe Gaquière, Bertrand Boudart

IEEE Transactions on Nuclear Science, 2017, pp.1 - 1. ⟨10.1109/TNS.2017.2708692⟩. ⟨hal-01645121⟩

  • Communication dans un congrès

An ultra broadband 0.5-18 GHz BPSK modulator

Paul Sangare, Christophe Loyez, Kevin Carpentier, Markus Mayer, Dirk Hartung, Francois Parickmiler, Nathalie Rolland

This paper presents an innovative topology of an ultra-broadband BPSK modulator. This novel architecture consists of a specific distributed amplifier and absorptive switches, providing amplitude flatness and low phase imbalance over the 0.5 - 18 GHz frequency bandwidth. Experimental results…

12th European Microwave Integrated Circuits Conference (EuMIC), Oct 2017, Nuremberg, Germany. paper EuMIC08-3, 171-174, ⟨10.23919/EuMIC.2017.8230687⟩. ⟨hal-03270104⟩

  • Article dans une revue

A comprehensive study of magnetic exchanges in the layered oxychalcogenides Sr3Fe2O5Cu2Q2 (Q = S, Se)

Minfeng Lü, Olivier Mentre, Elijah E. Gordon, Myung-Hwan Whangbo, Alain Wattiaux, Mathieu Duttine, Nicolas Tiercelin, Houria Kabbour

The layered oxysulfide Sr3Fe2O5Cu2S2 was prepared, and its crystal structure and magnetic properties were characterized by synchrotron X-ray diffraction (XRD), powder neutron diffraction (PND), Mössbauer spectroscopy measurements and by density functional theory (DFT) calculations. In addition, the…

Journal of Magnetism and Magnetic Materials, 2017, 444, pp.147-153. ⟨10.1016/j.jmmm.2017.07.026⟩. ⟨hal-01611341⟩

  • Communication dans un congrès

A 65-nm CMOS 7fJ per synaptic event clique-based neural network in scalable architecture

Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel

Clique-based neural networks are less complex than commonly used neural network models. They have a limited connectivity and are composed of simple functions. They are thus adapted to implement neuro-inspired computation units operating under severe energy constraints. This paper shows an ST 65-nm…

ISCAS 2017 : IEEE International Symposium on Circuits and Systems, May 2017, Baltimore, United States. pp.1 - 4, ⟨10.1109/ISCAS.2017.8050658⟩. ⟨hal-01656139⟩