World's Best Scientists 2026 revealed!
Francisco Chinesta

Francisco Chinesta

D-Index & Metrics

Engineering and Technology

D-Index
65
Citations
16276
World Ranking
1521
National Ranking
21

Research.com Recognitions

  • 2012 - Fellow of the International Association for Computational Mechanics (IACM)

Overview

Francisco Chinesta is affiliated with ESI in France and has contributed extensively to the field of engineering, with a particular focus on model reduction, computational mechanics, and materials science. Their research portfolio encompasses a broad range of subfields, including statistical and nonlinear physics, mechanical engineering, mechanics of materials, computational mechanics, and control and systems engineering.

The scientist's work centers on several main topics, notably model reduction and neural networks, probabilistic and robust engineering design, composite material mechanics, and applications of neural networks. Other key areas include topology optimization in engineering, structural health monitoring techniques, and additive manufacturing with 3D printing technologies.

Francisco Chinesta has collaborated frequently with several researchers over the course of their career. Notable coauthors include Elías Cueto, Chady Ghnatios, Victor Champaney, Amine Ammar, and Nicolas Hascoët.

Their publications are found in various esteemed venues, some of the most frequent being the International Journal of Material Forming and arXiv (Cornell University), as well as Advanced Modeling and Simulation in Engineering Sciences, SSRN Electronic Journal, and Jornadas de jóvenes investigadores del I3A.

Among their recent papers are:

  • "Advances in hybrid fibers reinforced polymer-based composites prepared by FDM: A review on mechanical properties and prospects," 2023, Composites Communications
  • "Deep learning of thermodynamics-aware reduced-order models from data," 2021, Computer Methods in Applied Mechanics and Engineering
  • "From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin," 2020, Archives of Computational Methods in Engineering
  • "Structure-preserving neural networks," 2020, Journal of Computational Physics
  • "Digital twins that learn and correct themselves," 2020, International Journal for Numerical Methods in Engineering

Francisco Chinesta has also contributed to academic literature through book publications. One notable example is a forthcoming book titled A Gentle Introduction to Data, Learning, and Model Order Reduction, to be published by Springer International Publishing in 2025.

The scientist has been recognized by the International Association for Computational Mechanics, receiving the distinction of Fellow in 2012.

Best Publications

  • A Short Review on Model Order Reduction Based on Proper Generalized Decomposition

    Francisco Chinesta;Pierre Ladeveze;Elías Cueto

  • A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modeling of complex fluids

    Amine Ammar;Béchir Mokdad;Francisco Chinesta;Roland Keunings

  • Recent Advances and New Challenges in the Use of the Proper Generalized Decomposition for Solving Multidimensional Models

    Francisco Chinesta;Amine Ammar;Elías Cueto

  • The Proper Generalized Decomposition for Advanced Numerical Simulations: A Primer

    Francisco Chinesta;Roland Keunings;Adrien Leygue

  • PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

    Francisco Chinesta;Adrien Leygue;Felipe Bordeu;Jose Vicente Aguado

  • A new family of solvers for some classes of multidimensional partial differential equations encountered in kinetic theory modelling of complex fluids - Part II: Transient simulation using space-time separated representations

    Amine Ammar;Béchir Mokdad;Francisco Chinesta;Roland Keunings

  • An overview of the proper generalized decomposition with applications in computational rheology

    Francisco Chinesta;Amine Ammar;Adrien Leygue;Roland Keunings

  • The Proper Generalized Decomposition for Advanced Numerical Simulations

    Francisco Chinesta;Roland Keunings;Adrien Leygue

  • Data-driven modeling and learning in science and engineering

    Francisco J. Montáns;Francisco Chinesta;Rafael Gómez-Bombarelli;J. Nathan Kutz

  • Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

    Francisco Chinesta;Elías G. Cueto;Emmanuelle Abisset-Chavanne;Jean Louis Duval

  • A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

    Rubén Ibañez;Emmanuelle Abisset-Chavanne;Jose Vicente Aguado;David Gonzalez

  • Advanced simulation of models defined in plate geometries: 3D solutions with 2D computational complexity

    B. Bognet;F. Bordeu;F. Chinesta;A. Leygue

  • On the "a priori" model reduction: overview and recent developments

    David Ryckelynck;Francisco Chinesta;Elías Cueto;Amine Ammar

  • Recent advances on the use of separated representations

    David González;Amine Ammar;Francisco Chinesta;Elías Cueto

  • Real-time deformable models of non-linear tissues by model reduction techniques

    S. Niroomandi;I. Alfaro;E. Cueto;F. Chinesta

  • Data-driven non-linear elasticity: constitutive manifold construction and problem discretization

    Ruben Ibañez;Domenico Borzacchiello;Jose Vicente Aguado;Emmanuelle Abisset-Chavanne

  • An error estimator for separated representations of highly multidimensional models

    Amine Ammar;Francisco Chinesta;Pedro Diez;Antonio Huerta

  • Proper Generalized Decomposition based dynamic data-driven control of thermal processes ☆

    Chady Ghnatios;Françoise Masson;Antonio Huerta;Adrien Leygue

  • Original article: On the deterministic solution of multidimensional parametric models using the Proper Generalized Decomposition

    E. Pruliere;F. Chinesta;A. Ammar

  • A new extension of the natural element method for non-convex and discontinuous problems: the constrained natural element method (C-NEM)

    Julien Yvonnet;David Ryckelynck;Philippe Lorong;Francisco Chinesta

Frequent Co-Authors

Elías Cueto
Elías Cueto University of Zaragoza
Roland Keunings
Roland Keunings Université Catholique de Louvain
Antonio Huerta
Antonio Huerta Universitat Politècnica de Catalunya
Julien Yvonnet
Julien Yvonnet Gustave Eiffel University
Malcolm R. Mackley
Malcolm R. Mackley University of Cambridge
Manuel Doblaré
Manuel Doblaré University of Zaragoza
Christophe Binetruy
Christophe Binetruy École Centrale de Nantes
Miroslav Grmela
Miroslav Grmela Polytechnique Montréal
Pierre Ladevèze
Pierre Ladevèze École Normale Supérieure Paris-Saclay
Luigino Filice
Luigino Filice University of Calabria

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