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E

Elías Cueto

Universidad de Zaragoza

45H-index
478Paper Count
7.0KCitation Count
Published Papers 57
Publication Date
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Can transformers overcome the lack of data in the simulation of history-dependent flows?
errJournal of Non-Newtonian Fluid Mechanics
IF2.8
err2026-04-16
err0
PREAI
errPau Urdeitx; Icíar Alfaro; David González; Francisco Chinesta; Elías Cueto
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On the under-reaching phenomenon in message passing neural PDE solvers: Revisiting the CFL condition
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-11-10
err0
errOAAI
errLucas Tesán; Mikel M. Iparraguirre; David González; Pedro Martins; Elías Cueto
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errSave
Meshgraphnets informed locally by thermodynamics for the simulation of flows around arbitrarily shaped objects
errADVANCED MODELING AND SIMULATION IN ENGINEERING SCIENCES
IF0
err2025-09-30
err0
errOAAI
errBermejo, Carlos; Badias, Alberto; Gonzalez, David; Cueto, Elias
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A Preface
errMECCANICA
IF2.1
err2025-09-01
err0
errOAAI
errComi, Claudia; Cueto, Elias; Luchini, Paolo; Pandolfi, Anna
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errSave
A neural network architecture for physically-consistent haptic rendering
errVirtual Reality
IF5
err2025-07-22
err0
errOAAI
errQuercus Hernández; Pedro Martins; Lucas Tesan; Icíar Alfaro; David González; Francisco Chinesta; Elías Cueto
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Thermodynamics-informed graph neural networks for real-time simulation of digital human twins
errComputational Mechanics
IF3.8
err2025-06-17
err0
errOAAI
errLucas Tesán; David González; Pedro Martins; Elías Cueto
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errSave
A comparison of single and double generator formalisms for thermodynamics-informed neural networks
errCOMPUTATIONAL MECHANICS
IF3.8
err2024-10-19
err0
errOAAI
errUrdeitx, Pau; Alfaro, Iciar; Gonzalez, David; Chinesta, Francisco; Cueto, Elias
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Thermodynamics-informed super-resolution of scarce temporal dynamics data
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-10-01
err0
errOAAI
errBermejo-Barbanoj, Carlos; Moya, Beatriz; Badias, Alberto; Chinesta, Francisco; Cueto, Elias
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Structure-preserving formulations for data-driven analysis of coupled multi-physics systems
errCOMPUTATIONAL MECHANICS
IF3.8
err2024-06-07
err0
errOAAI
errMuixi, Alba; Gonzalez, David; Chinesta, Francisco; Cueto, Elias
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An indirect training approach for implicit constitutive modelling using recurrent neural networks and the virtual fields method
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-05-01
err2
errOAAI
errLourenco, Ruben; Georgieva, Petia; Cueto, Elias; Andrade-Campos, A.
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Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2023-12-07
err1
PREAI
errMoya, Beatriz; Badias, Alberto; Gonzalez, David; Chinesta, Francisco; Cueto, Elias
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errSave
Thermodynamics of Learning Physical Phenomena
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2023-06-14
err13
errOAAI
errCueto, Elias; Chinesta, Francisco
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errSave
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
errCOMPUTATIONAL MECHANICS
IF3.8
err2023-03-21
err12
errOAAI
errHernandez, Quercus; Badias, Alberto; Chinesta, Francisco; Cueto, Elias
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errSave
Thermodynamics-informed neural networks for physically realistic mixed reality
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2023-03-01
err10
errOAAI
errHernandez, Quercus; Badias, Alberto; Chinesta, Francisco; Cueto, Elias
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errSave
A thermodynamics-informed active learning approach to perception and reasoning about fluids
errCOMPUTATIONAL MECHANICS
IF3.8
err2023-02-23
err6
errOAAI
errMoya, Beatriz; Badias, Alberto; Gonzalez, David; Chinesta, Francisco; Cueto, Elias
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Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2021-12-13
err1
errOAAI
errFrahi, Tarek; Sancarlos, Abel; Galle, Mathieu; Beaulieu, Xavier; Chambard, Anne; Falco, Antonio; Cueto, Elias; Chinesta, Francisco
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errSave
Empowering Materials Processing and Performance from Data and AI
errMATERIALS
IF3.2
err2021-08-06
err2
errOAAI
errChinesta, Francisco; Cueto, Elias; Klusemann, Benjamin
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errSave
Deep learning of thermodynamics-aware reduced-order models from data
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-06-01
err52
errOAAI
errHernandez, Quercus; Badias, Alberto; Gonzalez, David; Chinesta, Francisco; Cueto, Elias
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errSave
Learning non-Markovian physics from data
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-03-01
err12
errOAAI
errGonzalez, David; Chinesta, Francisco; Cueto, Elias
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errSave
Structure-preserving neural networks
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-02-01
err47
errOAAI
errHernandez, Quercus; Badias, Alberto; Gonzalez, David; Chinesta, Francisco; Cueto, Elias
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
M
M. Doblaré
H-index: 63 · Papers: 443
A
Antonio Huerta
H-index: 51 · Papers: 368
N
N. Sukumar
H-index: 47 · Papers: 148
P
Pierre Ladevèze
H-index: 46 · Papers: 395
F
Francisco Chinesta
H-index: 46 · Papers: 1.4K
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