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Thermodynamics of Learning Physical Phenomena
Thermodynamics of Learning Physical Phenomena
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Thermodynamics of Learning Physical Phenomena

Cueto, Elias ; Chinesta, Francisco

Archives of computational methods in engineering, 2023-11, Vol.30 (8), p.4653-4666 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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2
Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data
Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data
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Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data

Chinesta, Francisco ; Cueto, Elias ; Abisset-Chavanne, Emmanuelle ; Duval, Jean Louis ; Khaldi, Fouad El

Archives of computational methods in engineering, 2020-01, Vol.27 (1), p.105-134 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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3
From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin
From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin
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From ROM of Electrochemistry to AI-Based Battery Digital and Hybrid Twin

Sancarlos, Abel ; Cameron, Morgan ; Abel, Andreas ; Cueto, Elias ; Duval, Jean-Louis ; Chinesta, Francisco

Archives of computational methods in engineering, 2021-05, Vol.28 (3), p.979-1015 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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4
A Short Review on Model Order Reduction Based on Proper Generalized Decomposition
A Short Review on Model Order Reduction Based on Proper Generalized Decomposition
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A Short Review on Model Order Reduction Based on Proper Generalized Decomposition

Chinesta, Francisco ; Ladeveze, Pierre ; Cueto, Elías

Archives of computational methods in engineering, 2011-11, Vol.18 (4), p.395-404 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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5
A Comparative Assessment of the Methods-of-Moments for Estimating the Correlation Length of One-Dimensional Random Fields
A Comparative Assessment of the Methods-of-Moments for Estimating the Correlation Length of One-Dimensional Random Fields
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A Comparative Assessment of the Methods-of-Moments for Estimating the Correlation Length of One-Dimensional Random Fields

Christodoulou, Panagiotis ; Pantelidis, Lysandros ; Gravanis, Elias

Archives of computational methods in engineering, 2021-05, Vol.28 (3), p.1163-1181 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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6
Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling
Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling
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Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling

Moya, Beatriz ; Badías, Alberto ; González, David ; Chinesta, Francisco ; Cueto, Elias

Archives of computational methods in engineering, 2024-05, Vol.31 (4), p.1897-1914 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Digital twins that learn and correct themselves
Digital twins that learn and correct themselves
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Digital twins that learn and correct themselves

Moya, Beatriz ; Badías, Alberto ; Alfaro, Icíar ; Chinesta, Francisco ; Cueto, Elías

International journal for numerical methods in engineering, 2022-07, Vol.123 (13), p.3034-3044 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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8
Thermodynamics-informed neural networks for physically realistic mixed reality
Thermodynamics-informed neural networks for physically realistic mixed reality
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Thermodynamics-informed neural networks for physically realistic mixed reality

Hernández, Quercus ; Badías, Alberto ; Chinesta, Francisco ; Cueto, Elías

Computer methods in applied mechanics and engineering, 2023-03, Vol.407, p.115912, Article 115912 [Periódico revisado por pares]

Elsevier B.V

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9
Nonincremental proper generalized decomposition solution of parametric uncoupled models defined in evolving domains
Nonincremental proper generalized decomposition solution of parametric uncoupled models defined in evolving domains
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Nonincremental proper generalized decomposition solution of parametric uncoupled models defined in evolving domains

Ammar, Amine ; Cueto, Elías ; Chinesta, Francisco

International journal for numerical methods in engineering, 2013-02, Vol.93 (8), p.887-904 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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10
PGD-Based Computational Vademecum for Efficient Design, Optimization and Control
PGD-Based Computational Vademecum for Efficient Design, Optimization and Control
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PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

Chinesta, F. ; Leygue, A. ; Bordeu, F. ; Aguado, J. V. ; Cueto, E. ; Gonzalez, D. ; Alfaro, I. ; Ammar, A. ; Huerta, A.

Archives of computational methods in engineering, 2013-03, Vol.20 (1), p.31-59 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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