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	Pour les 54 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Simulating 3D periodic structures at oblique incidences with discontinuous Galerkin time-domain methods: theoretical and practical considerations Jonathan Viquerat , Nikolai Schmitt , Claire Scheid SMAI Journal of Computational Mathematics, 2019, ⟨10.5802/smai-jcm.45⟩ Article dans une revue hal-01978598v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Dynamic metasurface control using Deep Reinforcement Learning Ying Zhao , Liang Li , Stéphane Lanteri , Jonathan Viquerat Mathematics and Computers in Simulation, 2023, 197, pp.377-395. ⟨10.1016/j.matcom.2022.02.016⟩ Article dans une revue hal-03924777v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Parallel Bootstrap-Based On-Policy Deep Reinforcement Learning for Continuous Fluid Flow Control Applications Jonathan Viquerat , Elie Hachem Fluids, 2023, 8 (7), pp.208. ⟨10.3390/fluids8070208⟩ Article dans une revue hal-04328631v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method Nikolai Schmitt , Claire Scheid , Jonathan Viquerat , Stéphane Lanteri 2017 Pré-publication, Document de travail hal-01647074v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Development of DGTD solver for nanophotonics applications Stéphane Lanteri , Raphaël Léger , Claire Scheid , Jonathan Viquerat 5th international conference on metamaterials, photonic crystals and plasmonics, May 2014, SIngapour, Singapore Communication dans un congrès hal-01403878v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects Nikolai Schmitt , Claire Scheid , Stéphane Lanteri , Antoine Moreau , Jonathan Viquerat Journal of Computational Physics, 2016, 316, ⟨10.1016/j.jcp.2016.04.020⟩ Article dans une revue hal-01334396v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep reinforcement learning for the control of CPU-intensive environments Jonathan Viquerat , Philippe Meliga , Elie Hachem AI4Waves Workshop on Artificial Intelligence for Waves, 2022, Sophia-Antipolis, France Communication dans un congrès hal-03924864v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Discontinuous Galerkin Time Domain Methods for Nonlocal Dispersion Models and Electron Beam Modeling in the Context of Nanoplasmonics Stephane Lanteri , Claire Scheid , Nikolai Schmitt , Jonathan Viquerat META 2016 - 7th International Conference on Metamaterials, Photonic Crystals and Plasmonics, Jul 2016, Malaga, Spain Communication dans un congrès hal-01391566v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A 3D curvilinear discontinuous Galerkin time-domain solver for nanoscale light–matter interactions Jonathan Viquerat , Claire Scheid Journal of Computational and Applied Mathematics, 2015, pp.Article in Press. ⟨10.1016/j.cam.2015.03.028⟩ Article dans une revue hal-01145478v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep reinforcement learning for fluid mechanics Elie Hachem , Philippe Meliga , Hassan Ghraieb , Ramy Nemer , Aurèle Goetz , et al. IUTAM Symposium on data-driven mechanics, 2022, Paris, France Communication dans un congrès hal-03924781v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Simulation of near-field plasmonic interactions with a local approximation order discontinuous Galerkin time-domain method Jonathan Viquerat , Stéphane Lanteri Photonics and Nanostructures - Fundamentals and Applications, 2016, 18, pp.43 - 58. ⟨10.1016/j.photonics.2015.12.004⟩ Article dans une revue hal-01389163v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Curvilinear DGTD method for nanophotonics applications Jonathan Viquerat , Claire Scheid 6th International conference on advanced computational methods in engineering, Jun 2014, Gand, Belgium Communication dans un congrès hal-01403876v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Analysis of a Generalized Dispersive Model Coupled to a DGTD Method with Application to Nanophotonics Stephane Lanteri , Claire Scheid , Jonathan Viquerat SIAM Journal on Scientific Computing, 2017, 39 (3), pp.A831 - A859. ⟨10.1137/15M105207X⟩ Article dans une revue hal-01674031v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Flow prediction by U-Shape convolutionary neural networks at low Reynolds Number Junfeng Chen , Jonathan Viquerat , Elie Hachem Complex Days, Académie Systèmes Complexes, Mar 2019, Nice, France Communication dans un congrès hal-03876664v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number Jonathan Viquerat , Elie Hachem Computers and Fluids, In press Article dans une revue hal-02401463v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A 3D curvilinear Discontinuous Galerkin time-domain method for nanoscale light-matter interactions Jonathan Viquerat , Claire Scheid Journal of Computational and Applied Mathematics, 2015 Article dans une revue hal-01290077v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method Nikolai Schmitt , Claire Scheid , Jonathan Viquerat , Stéphane Lanteri Journal of Computational Physics, 2018, 373, pp.210-229 Article dans une revue hal-01973550v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier , Jonathan Viquerat , Jean Rabault , Aurélien Larcher , Alexander Kuhnle , et al. 2020 Pré-publication, Document de travail hal-02428737v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Direct shape optimization through deep reinforcement learning Jonathan Viquerat , Mines Paristech , Jean Rabault , Alexander Kuhnle , Hassan Ghraieb , et al. 2021 Pré-publication, Document de travail hal-02401468v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Exploiting locality and translational invariance to design effective Deep Reinforcement Learning control of the 1-dimensional unstable falling liquid film Vincent Belus , Jean Rabault , Jonathan Viquerat , Zhizhao Che , Elie Hachem , et al. AIP Advances, 2019, 9, pp.125014. ⟨10.1063/1.5132378⟩ Article dans une revue hal-02401501v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Time-accurate calculation and bifurcation analysis of incompressible flows using adaptive variational multiscale modeling Aurélien Larcher , Jonathan Viquerat , Philippe Meliga , Elie Hachem 20th International Confe- rence on Fluid Flow Problems, 2019, Chicago, United States Communication dans un congrès hal-03924845v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Numerical modeling of light/matter interaction at the nanoscale with a high order finite element type time-domain solver Stéphane Lanteri , Claire Scheid , Jonathan Viquerat 36th PIERS (Progress In Electromagnetics Research Symposium) , Jul 2015, Prague, Czech Republic Communication dans un congrès hal-01258563v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		High order DGTD solver for the numerical modeling of nanoscale light/matter interaction Stéphane Lanteri , Claire Scheid , Jonathan Viquerat Icosahom 2016 - International Conference on Spectral and High Order Methods, Jun 2016, Rio de Janeiro, Brazil Communication dans un congrès hal-01404672v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		3D Simulations of Spatial Dispersive Metals with a Finite Element Time Domain Method Nikolai Schmitt , Claire Scheid , Jonathan Viquerat , Stéphane Lanteri Plasmonica 2017 - Fifth workshop on plasmonics and its applications, Jul 2017, Lecce, Italy Communication dans un congrès hal-01675604v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects Nikolai Schmitt , Claire Scheid , Stéphane Lanteri , Jonathan Viquerat , Antoine Moreau [Research Report] RR-8726, INRIA. 2015, pp.73 Rapport hal-01150076v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Policy-based optimization: single-step policy gradient method seen as an evolution strategy Jonathan Viquerat , Régis Duvigneau , Philippe Meliga , A Kuhnle , Elie Hachem Neural Computing and Applications, 2022, ⟨10.1007/s00521-022-07779-0⟩ Article dans une revue hal-03432655v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Sensitivity of intracranial haemo- dynamics towards varying arterial tree extensions Pablo Jeken Rico , Aurèle Goetz , Jonathan Viquerat , P. Meliga , Aurélien Larcher , et al. 28th Congress of the European Society of Biomechanics, Jul 2023, Maastricht, Netherlands Poster de conférence hal-04379143v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A review on deep reinforcement learning for fluid mechanics: an update J Viquerat , P Meliga , A Larcher , E Hachem Physics of Fluids, 2022, 34 (11), pp.111301. ⟨10.1063/5.0128446⟩ Article dans une revue hal-03432654v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		U-net architectures for fast prediction of incompressible laminar flows Junfeng Chen , Jonathan Viquerat , Elie Hachem 2020 Pré-publication, Document de travail hal-02428694v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Discontinuous Galerkin Time Domain Method for Plasmonics with a Nonlocal Dispersion Model Nikolai Schmitt , Claire Scheid , Jonathan Viquerat , Stephane Lanteri , A Moreau PIERS 2017 - 38th Progress In Electromagnetics Research Symposium, May 2017, St. Petersburg, Russia Communication dans un congrès hal-01675601v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Simulating 3D periodic structures at oblique incidences with discontinuous Galerkin time-domain methods: theoretical and practical considerations

Dynamic metasurface control using Deep Reinforcement Learning

Parallel Bootstrap-Based On-Policy Deep Reinforcement Learning for Continuous Fluid Flow Control Applications

Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method

Development of DGTD solver for nanophotonics applications

A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects

Deep reinforcement learning for the control of CPU-intensive environments

Discontinuous Galerkin Time Domain Methods for Nonlocal Dispersion Models and Electron Beam Modeling in the Context of Nanoplasmonics

A 3D curvilinear discontinuous Galerkin time-domain solver for nanoscale light–matter interactions

Deep reinforcement learning for fluid mechanics

Simulation of near-field plasmonic interactions with a local approximation order discontinuous Galerkin time-domain method

Curvilinear DGTD method for nanophotonics applications

Analysis of a Generalized Dispersive Model Coupled to a DGTD Method with Application to Nanophotonics

Flow prediction by U-Shape convolutionary neural networks at low Reynolds Number

A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number

A 3D curvilinear Discontinuous Galerkin time-domain method for nanoscale light-matter interactions

Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method

A review on Deep Reinforcement Learning for Fluid Mechanics

Direct shape optimization through deep reinforcement learning

Exploiting locality and translational invariance to design effective Deep Reinforcement Learning control of the 1-dimensional unstable falling liquid film

Time-accurate calculation and bifurcation analysis of incompressible flows using adaptive variational multiscale modeling

Numerical modeling of light/matter interaction at the nanoscale with a high order finite element type time-domain solver

High order DGTD solver for the numerical modeling of nanoscale light/matter interaction

3D Simulations of Spatial Dispersive Metals with a Finite Element Time Domain Method

A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects

Policy-based optimization: single-step policy gradient method seen as an evolution strategy

Sensitivity of intracranial haemo- dynamics towards varying arterial tree extensions

A review on deep reinforcement learning for fluid mechanics: an update

U-net architectures for fast prediction of incompressible laminar flows

A Discontinuous Galerkin Time Domain Method for Plasmonics with a Nonlocal Dispersion Model