Piotr Breitkopf
Publications
Publications
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TAILORED GAUSSIAN PROCESS KERNELS FOR LEARNING REPRESENTATIVE VOLUME ELEMENTS (RVE) FROM EBSD TEXTURE DATA OF POLYCRYSTALSDigital Twins in Engineering & Artificial Intelligence and Computational Methods in Applied Science, DTE - AICOMAS 2025, Feb 2025, Paris, France |
Gaussian Process Regression for Texture Analysis: Reconstruction and HomogenizationXVIII International Conference on Computational Plasticity, COMPLAS 2025, Sep 2025, Barcelona, Spain |
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Non-intrusive reduced order approximation for multi-physics problems16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France |
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Utilisation de fonctions d'agrégation en optimisation topologique et application au design d'aimants supraconducteurs pour les IRMs hauts champs16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France |
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Réduction de la dimensionnalité de textures de métaux polycristallins16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, France |
An application of Reduced-Order Model for polycrystalline plasticityNPU-UTC Bilateral Symposium on Data-driven Simulation, Nov 2023, Xi'An, China |
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Model reduction in the context of polycrystalline plasticityMORTech 2023 – 6th International Workshop on Model Reduction Techniques, Nov 2023, Paris-Saclay, France |
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Reduced-Order Polycrystalline Texture RepresentationXVII International Conference on Computational Plasticity, COMPLAS 2023, Sep 2023, Barcelona, Spain |
Using a Reduced-Order Modeling strategy for accounting for texture information in the context of polycrystalline plasticity2023 International Conference on the Cooperation and Integration of Industry, Education, Research and Application, Nov 2023, Wuhan, China |
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A NEW MODELING STRATEGY ACCOUNTING FOR MATERIAL TEXTURE6th International Conference on Multi-scale Computational Methods for Solids and Fluids, Jun 2023, Sarajevo, Bosnia and Herzegovina |
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Design of experiments for data-driven optimization in the field of direct metal laser sintering15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France |
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Vers un paradigme d'apprentissage de variété pour la caractérisation de l'anisotropie plastique dans des métaux et des alliages métalliques15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France |
Topology Optimization of Structures Using Higher Order Finite Elements in AnalysisInternational Conference on Modeling, Simulation and Optimization, CoMSO 2020, Aug 2020, Assam, India. pp.791-800, ⟨10.1007/978-981-15-9829-6_61⟩ |
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Machines à Vecteurs Supports pour l'approximation de contraintes de couplage en optimisation composite14ème Colloque National en Calcul de Structures (CSMA 2019), CSMA, LEM3, MSME, Université de Lorraine, Arts et Métiers, CNRS, May 2019, Hyères, France |
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Enrichissement des modèles réduits POD non intrusifs multiniveaux14ème Colloque National en Calcul de Structures (CSMA 2019), CSMA, LEM3, MSME, Université de Lorraine, Arts et Métiers, CNRS, May 2019, Hyères, France |
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Critère temporel pour la sélection des modes POD et application à la dynamique des structures14ème Colloque National en Calcul de Structures (CSMA 2019), CSMA, LEM3, MSME, Université de Lorraine, Arts et Métiers, CNRS, May 2019, Hyères, France |
Multi-scale characterization of highly anisotropic polycrystalline materials39th Ibero-Latin-American Congress on Computational Methods in Engineering, Nov 2018, Compiègne, France |
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Numerical Study of Shape-Manifold Learning Approach Applied to Material Property Identification from Instrumented IndentationsIndentation 2018, Sep 2018, Liège, Belgium |
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Identification of Material Properties by Instrumented Indentation using Manifold ApproachCAMTEC IV, Apr 2018, Cambridge, United Kingdom |
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LPC Blade and Non-Axisymmetric Hub Profiling Optimization Using Multi-Fidelity Non-Intrusive POD SurrogatesASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, Jun 2017, Charlotte, France. ⟨10.1115/GT2017-65106⟩ |
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Implicit kriging model of fibrous reinforcements in composites based on X-ray microtomography13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France |
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On the uniqueness of the elastoplastic properties identified from the indentation test on materials following the Vocé hardening law13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France |
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TUComp framework for modeling and analysis of composite materials based on X-ray microtomography13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France |
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Optimisation aérodynamique assistée par métamodèles POD multi-fidélité non-intrusifs13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France |
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Evaluation de la fiabilité en Mécanique de la Rupture assistée par un classificateur de machine à vecteurs de support13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France |
Identification of Material Parameters Using Indentation Test and Manifold Learning ApproachThe 16th International Conference Metal Forming 2016, AGH University of Science and Technology, Kraków, Poland, Sep 2016, Krakovie, Poland |
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Optimization by Shape Manifold Based on Level Set Interpolation Applied to Deep Drawing ApplicationsThe 16th International Conference Metal Forming 2016, AGH University of Science and Technology, Kraków, Poland, Sep 2016, Krakovie, Poland |
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Vers une approche objective pour l'identification des paramètres mécaniques basée sur l'interpolation d'empreinte.Colloque Indentation 2016, Groupe d'Indentation Multi Echelle Nord Pas-de-Calais, Oct 2016, Lille, France |
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Shape Optimization in Metal Forming Applications Based on the Shape-Manifold ApproachNUMIFORM 2016 - The 12th International Conference on Numerical Methods in Industrial Forming Processes, University of Technology of Troyes, Troyes, France, Jul 2016, Troyes, France |
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Réduction de modèle basée sur l’apprentissage par variété appliquée à l’optimisation du procédé d’emboutissageCSMA 2015: 12me Colloque National en Calcul des Structures, CSMA, May 2015, Presqu'ile de Giens, France |
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Towards simultaneous meta-modeling for both the output and input spaces in the context of design shape optimization using asynchronous high-performance computing2nd ECCOMAS Young Investigators Conference (YIC 2013), Sep 2013, Bordeaux, France |
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Maillage et adaptation par décomposition en domaines quasi-développables9e Colloque national en calcul des structures, CSMA, May 2009, Giens, France |
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Optimisation multidisciplinaire8e Colloque national en calcul des structures, CSMA, May 2007, Giens, France |
A mixed Natural Neighbour and Diffuse Element Framework for Meshfree Methods Development6th World Congress on Computational Mechanics (WCCM-VI), 2004, Pékin, China |
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Développements Récents Autour des Méthodes Sans Maillage : Application aux Procédés de Mise en Forme30 ans de modélisation numérique à l'UTC : défis et perspectives, 2004, Compiège, France |
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Meshfree operators for consistent field transfert in large deformation plasticityECCM 2001, Jun 2001, Krakow, Poland |
Tailored gaussian process modeling for polycristalline texture representationECCOMAS Thematic Conference: Computational Modeling of Complex Materials across the Scales, May 2025, Champs-sur-Marne, France |
On P-refinement in Topology OptimizationSpringer Nature. Modeling, Simulation and Optimization, pp.1-17, 2024, Smart innovation, systems and technologies, ⟨10.1007/978-981-99-6866-4_1⟩ |
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Process-dependent material characteristics of DMLS-manufactured specimensQuality Analysis of Additively Manufactured Metals, Elsevier, pp.73-118, 2023, ⟨10.1016/B978-0-323-88664-2.00005-1⟩ |
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Ingénierie des matériaux et des structures, mécanique des solides, acoustiqueRapport de conjoncture 2010 du Comité national de la recherche scientifique, CNRS Editions, pp.169-186, 2011, ISBN 978-2-271-07263-4 |