Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Froehly Luc"'
Publikováno v:
EPJ Web of Conferences, Vol 309, p 15005 (2024)
Deep neural networks based on physics-driven learning make it possible to train neural networks with a reduced data set and also have the potential to transfer part of the numerical computations to optical processing. The aim of this work is to devel
Externí odkaz:
https://doaj.org/article/e6716401ce6c45aa92ab4ef67497aed9
Autor:
Dudley, John M., Magnin, Jeanne, Froehly, Luc, Salvi, Jerome, Verschueren, Pierre, Jacquot, Maxime
Recently uncovered archives at the University of Franche-Comt\'e in Besan\c{c}on (France) reveal a rich history of research and teaching in physics since the Faculty of Science was first established in 1845. Here, we describe a selection of notable a
Externí odkaz:
http://arxiv.org/abs/2403.09271
Autor:
Ardaneh, Kazem, Meyer, Remi, Hassan, Mostafa, Giust, Remo, Xie, Chen, Morel, Benoit, Ouadghiri-Idrissi, Ismail, Furfaro, Luca, Froehly, Luc, Couairon, Arnaud, Bonnaud, Guy, Courvoisier, Francois
We demonstrate for the first time to our knowledge the generation of overcritical plasma densities inside transparent solids over long distances using femtosecond laser pulses. This opens new avenues for high energy density physics in confined geomet
Externí odkaz:
http://arxiv.org/abs/2109.00803
Ultrafast imaging is essential in physics and chemistry to investigate the femtosecond dynamics of nonuniform samples or of phenomena with strong spatial variations. It relies on observing the phenomena induced by an ultrashort laser pump pulse using
Externí odkaz:
http://arxiv.org/abs/2102.05108
Autor:
Froehly, Luc, Courvoisier, Francois, Brunner, Daniel, Larger, Laurent, Devaux, Fabrice, Lantz, Eric, Dudley, John M., Jacquot, Maxime
Publikováno v:
Luc Froehly, et al., J. Opt. Soc. Am. A 36, C69-C77 (2019)
The concepts of Fourier optics were established in France in the 1940s by Pierre-Michel Duffieux, and laid the foundations of an extensive series of activities in the French research community that have touched on nearly every aspect of contemporary
Externí odkaz:
http://arxiv.org/abs/1911.01312
Autor:
Maktoobi, Sheler, Froehly, Luc, Andreoli, Louis, Porte, Xavier, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics 26, 1 (2020)
Photonic networks are considered a promising substrate for high-performance future computing systems. Compared to electronics, photonics has significant advantages for a fully parallel implementation of networks. A promising approach for parallel lar
Externí odkaz:
http://arxiv.org/abs/1907.05661
Akademický článek
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Autor:
Bueno, Julian, Maktoobi, Sheler, Froehly, Luc, Fischer, Ingo, Jacquot, Maxime, Larger, Laurent, Brunner, Daniel
Publikováno v:
Optica Vol. 5, Issue 6, pp. 756-760 (2018)
Photonic Neural Network implementations have been gaining considerable attention as a potentially disruptive future technology. Demonstrating learning in large scale neural networks is essential to establish photonic machine learning substrates as vi
Externí odkaz:
http://arxiv.org/abs/1711.05133
There are many examples in physics of systems showing rogue wave behaviour, the generation of high amplitude events at low probability. Although initially studied in oceanography, rogue waves have now been seen in many other domains, with particular
Externí odkaz:
http://arxiv.org/abs/1507.03231
Autor:
Froehly, Luc, Ouadour, Malha, Furfaro, Luca, Sandoz, Patrick, Gharbi, Tijani, Leproux, Philippe, Huss, Guillaume, Couderc, Vincent
Current spectroscopic optical coherence tomography (OCT) methods rely on a posteriori numerical calculation. We present an alternative for accessing optically the spectroscopic information in OCT, i.e. without any post-processing, by using a grating
Externí odkaz:
http://arxiv.org/abs/physics/0611198