World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
8330
World Ranking
4605
National Ranking
102

Overview

Elías Cueto is affiliated with the University of Zaragoza in Spain and has contributed extensively to research in engineering, computer science, and physics and astronomy. Their scholarly work spans multiple subfields, including statistical and nonlinear physics, artificial intelligence, computational theory and mathematics, computer vision and pattern recognition, and statistics, probability, and uncertainty.

Their research focuses on several main topics: model reduction and neural networks, probabilistic and robust engineering design, neural networks and applications, real-time simulation and control systems, machine learning in materials science, modeling and simulation systems, and advanced thermodynamics and statistical mechanics.

Elías Cueto has published papers in a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Jornadas de jóvenes investigadores del I3A
  • Computer Methods in Applied Mechanics and Engineering
  • Advanced Modeling and Simulation in Engineering Sciences
  • Computational Mechanics

Among their recent papers are:

  • Deep learning of thermodynamics-aware reduced-order models from data (2021), published in Computer Methods in Applied Mechanics and Engineering
  • From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin (2020), published in Archives of Computational Methods in Engineering
  • Structure-preserving neural networks (2020), published in Journal of Computational Physics
  • Digital twins that learn and correct themselves (2020), published in International Journal for Numerical Methods in Engineering
  • Thermodynamics-Informed Graph Neural Networks (2022), published in IEEE Transactions on Artificial Intelligence

Frequent coauthors who have collaborated with Elías Cueto include:

  • Francisco Chinesta
  • David González
  • Icíar Alfaro
  • Victor Champaney
  • Chady Ghnatios

The scientist has contributed to the publishing of at least one book through Springer International Publishing, titled A Gentle Introduction to Data, Learning, and Model Order Reduction, which is expected in 2025.

Best Publications

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

    Francisco Chinesta;Pierre Ladeveze;Elías Cueto

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

    Francisco Chinesta;Amine Ammar;Elías Cueto

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

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

  • 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

  • Overview and recent advances in natural neighbour galerkin methods

    E. Cueto;N. Sukumar;B. Calvo;M. A. Martínez

  • 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

  • Imposing essential boundary conditions in the natural element method by means of density-scaled?-shapes

    E. Cueto;M. Doblaré;L. Gracia

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

    Chady Ghnatios;Françoise Masson;Antonio Huerta;Adrien Leygue

  • Proper generalized decomposition of time-multiscale models

    Amine Ammar;Francisco Chinesta;Elías Cueto;Manuel Doblaré

  • Real-time simulation of biological soft tissues: a PGD approach

    S. Niroomandi;D. González;I. Alfaro;F. Bordeu

  • Parametric solutions involving geometry: A step towards efficient shape optimization

    Amine Ammar;Antonio Huerta;Antonio Huerta;Francisco Chinesta;Elías Cueto

  • On the employ of meshless methods in biomechanics

    M. Doblaré;E. Cueto;B. Calvo;M.A. Martínez

  • Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models

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

  • Thermodynamically consistent data-driven computational mechanics

    David González;Francisco Chinesta;Elías Cueto

  • Model order reduction for hyperelastic materials

    Siamak Niroomandi;Icíar Alfaro;Elías Cueto;Francisco Chinesta

  • Non incremental strategies based on separated representations: applications in computational rheology

    Amine Ammar;M. Normandin;F. Daim;D. Gonzalez

Frequent Co-Authors

Manuel Doblaré
Manuel Doblaré University of Zaragoza
Antonio Huerta
Antonio Huerta Universitat Politècnica de Catalunya
Luigino Filice
Luigino Filice University of Calabria
Julien Yvonnet
Julien Yvonnet Gustave Eiffel University
Roland Keunings
Roland Keunings Université Catholique de Louvain
Miguel Ángel Martínez
Miguel Ángel Martínez University of Zaragoza
Malcolm R. Mackley
Malcolm R. Mackley University of Cambridge
Begoña Calvo
Begoña Calvo University of Zaragoza
Jean-Michel Bergheau
Jean-Michel Bergheau École Nationale d'Ingénieurs de Saint-Étienne

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