765 citations
- Centre National de la Recherche ScientifiqueFR201 papers
- École PolytechniqueFR163 papers
- École Nationale Supérieure de Techniques Avancées ParisFR146 papers
- Laboratoire d'Optique AppliquéeFR116 papers
- Université Paris-SaclayFR79 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR55 papers
- Institut national de recherche en sciences et technologies du numériqueFR54 papers
- POEMS: Propagation des Ondes : Etude Mathématique et SimulationanFR26 papers
- Institut Polytechnique de ParisFR22 papers
- Institut des Sciences de la Mécanique et Applications IndustriellesFR21 papers
- Université Paris-SudFR17 papers
- CEA DAM Île-de-FranceFR16 papers
397 papers
A non-local singular non-linear Fokker-Planck PDE
Luca Bondi, Elena Issoglio, Francesco Russo
The focus of this paper is a non-local singular non-linear Fokker-Planck partial differential equation (PDE). The peculiarity of this PDE feature is in its divergence coefficient,…
Intermodal entanglement in a quantum optical model of HHG due to the back-action on the driving field
Ákos Gombkötő, Péter Ádám, David Theidel +1
Preparation of nonclassical light with special quantum properties is essential for quantum technologies. High-harmonic generation (HHG) is a process which not only enables the crea…
Low-Back Pain Physical Rehabilitation by Movement Analysis in Clinical Trial
Sao Mai Nguyen
To allow the development and assessment of physical rehabilitation by an intelligent tutoring system, we propose a medical dataset of clinical patients carrying out low back-pain r…
The Thermal Unbalance Effect Induced by a Journal Bearing in Rigid and Flexible Rotors: Experimental Analysis
Thibaud Plantegenet, Mihai Arghir, Mohamed-Amine Hassini +1
The present work presents the experimental analyses of a rigid (short) and a flexible (long) rotor subject to thermal unbalance effects. The rotors are supported by a ball bearing…
Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification
Adrien Lafage, Olivier Laurent, Firas Gabetni +1
Deep Neural Networks (DNNs) have demonstrated remarkable performance across various domains, including computer vision and natural language processing. However, they often struggle…
Simulation-calibrated Bayesian inference for progenitor properties of the microquasar SS 433
Nathan Steinle, Matthew Mould, Sarah Al-Humaikani +3
SS433 is one of the most extreme Galactic X-ray binaries, launching semi-relativistic jets and showing clear signs of super-critical accretion onto what is likely a black hole.…