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12 papers · 1 filter
Spintronics, from giant magnetoresistance to magnetic skyrmions and topological insulators
Albert Fert, Frédéric Nguyen van Dau
This article aims at giving a general presentation of spintronics, an important field of research developing today along many new directions in physics of condensed matter. We trie…
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond
Machine learning is yielding unprecedented interest in research and industry, due to recent success in many applied contexts such as image classification and object recognition. Ho…
DIMOHA: A Time-Domain Algorithm for Traveling-Wave Tube Simulations
Damien Minenna, Yves Elskens, Frédéric André +3
To simulate traveling-wave tubes (TWTs) in time domain and more generally the wave-particle interaction in vacuum devices, we developed the DIscrete MOdel with HAmiltonian approach…
Riemannian batch normalization for SPD neural networks
Daniel Brooks, Olivier Schwander, Frederic Barbaresco +2
Covariance matrices have attracted attention for machine learning applications due to their capacity to capture interesting structure in the data. The main challenge is that one ne…
Low offset frequency flicker noise in spin torque vortex oscillators
Steffen Wittrock, Sumito Tsunegi, Kay Yakushiji +9
Low frequency noise close to the carrier remains little explored in spin torque nano oscillators. However, it is crucial to investigate as it limits the oscillator's frequency stab…
Generalized Gibbs Ensembles in Discrete Quantum Gravity
Goffredo Chirco, Isha Kotecha
Maximum entropy principle and Souriau's symplectic generalization of Gibbs states have provided crucial insights leading to extensions of standard equilibrium statistical mechanics…