A natural element updated Lagrangian strategy for free-surface fluid dynamics. - David González 002; Elías Cueto; Francisco Chinesta; Manuel Doblaré (J. Comput. Phys., 2007)

On the Application of Model Reduction Techniques to Real-Time Simulation of Non-linear tissues. - Siamak Niroomandi; Icíar Alfaro; Elías Cueto; Francisco Chinesta (ISBMS, 2008)

Real-time deformable models of non-linear tissues by model reduction techniques. - Siamak Niroomandi; Icíar Alfaro; Elías Cueto; Francisco Chinesta (Comput. Methods Programs Biomed., 2008)

Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models. - Siamak Niroomandi; Icíar Alfaro; Elías Cueto; Francisco Chinesta (Comput. Methods Programs Biomed., 2012)

Proper Generalized Decomposition based dynamic data driven inverse identification. - David González 002; F. Masson; F. Poulhaon; Adrien Leygue; Elías Cueto; Francisco Chinesta (Math. Comput. Simul., 2012)

PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection. - Carlos Quesada; Icíar Alfaro; David González 002; Elías Cueto; Francisco Chinesta (ISBMS, 2014)

Real time simulation for computational surgery: a review. - Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2014)

An error estimator for real-time simulators based on model order reduction. - Icíar Alfaro; David González 002; Sergio Zlotnik; Pedro Díez; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2015)

Towards a pancreatic surgery simulator based on model order reduction. - Andrés Mena; David Bel; Icíar Alfaro; David González 002; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2015)

Effect of the separated approximation of input data in the accuracy of the resulting PGD solution. - Sergio Zlotnik; Pedro Díez; David González 002; Elías Cueto; Antonio Huerta (Adv. Model. Simul. Eng. Sci., 2015)

Kinetic Theory Modeling and Efficient Numerical Simulation of Gene Regulatory Networks Based on Qualitative Descriptions. - Francisco Chinesta; Morgan Magnin; Olivier H. Roux; Amine Ammar; Elías Cueto (Entropy, 2015)

On the use of model order reduction for simulating automated fibre placement processes. - Nicolas Bur; Pierre Joyot; Chady Ghnatios; Pierre Villon; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2016)

Real-time simulation techniques for augmented learning in science and engineering. - Carlos Quesada; David González 002; Icíar Alfaro; Elías Cueto; Antonio Huerta; Francisco Chinesta (Vis. Comput., 2016)

Improving the realism of mixed reality through physical simulation. - Alberto Badías; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (SIGGRAPH Posters, 2018)

A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition. - Rubén Ibáñez; Emmanuelle Abisset-Chavanne; Amine Ammar; David González 002; Elías Cueto; Antonio Huerta; Jean-Louis Duval; Francisco Chinesta (Complex., 2018)

Data-Driven GENERIC Modeling of Poroviscoelastic Materials. - Chady Ghnatios; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Entropy, 2019)

Learning Physics from Data: A Thermodynamic Interpretation. - Francisco Chinesta; Elías Cueto; Miroslav Grmela; Beatriz Moya; Michal Pavelka; Martin Sípka (SPIGL, 2020)

Deep learning of thermodynamics-aware reduced-order models from data. - Quercus Hernandez; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2020)

A separated representation involving multiple time scales within the Proper Generalized Decomposition framework. - Angelo Pasquale; Amine Ammar; Antonio Falcó; Simona Perotto; Elías Cueto; Jean-Louis Duval; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2021)

PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit. - Abel Sancarlos; Victor Champaney; Jean-Louis Duval; Elías Cueto; Francisco Chinesta (CoRR, 2021)

Learning stable reduced-order models for hybrid twins. - Abel Sancarlos; Morgan Cameron; Jean-Marc Le Peuvedic; Juliette Groulier; Jean-Louis Duval; Elías Cueto; Francisco Chinesta (CoRR, 2021)

Monitoring weeder robots and anticipating their functioning by using advanced topological data analysis. - Tarek Frahi; Abel Sancarlos; Matthieu Galle; Xavier Beaulieu; Anne Chambard; Antonio Falcó; Elías Cueto; Francisco Chinesta (CoRR, 2021)

Monitoring Weeder Robots and Anticipating Their Functioning by Using Advanced Topological Data Analysis. - Tarek Frahi; Abel Sancarlos; Mathieu Galle; Xavier Beaulieu; Anne Chambard; Antonio Falcó; Elías Cueto; Francisco Chinesta (Frontiers Artif. Intell., 2021)

Learning non-Markovian physics from data. - David González 002; Francisco Chinesta; Elías Cueto (J. Comput. Phys., 2021)

Structure-preserving neural networks. - Quercus Hernandez; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (J. Comput. Phys., 2021)

Empowering engineering with data, machine learning and artificial intelligence: a short introductive review. - Francisco Chinesta; Elías Cueto (Adv. Model. Simul. Eng. Sci., 2022)

Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids. - Beatriz Moya; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2022)

Thermodynamics of learning physical phenomena. - Elías Cueto; Francisco Chinesta (CoRR, 2022)

Thermodynamics-informed neural networks for physically realistic mixed reality. - Quercus Hernández; Alberto Badías; Francisco Chinesta; Elías Cueto (CoRR, 2022)

Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems. - Quercus Hernández; Alberto Badías; Francisco Chinesta; Elías Cueto (CoRR, 2022)

MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. - Alberto Badías; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. - Beatriz Moya; Alberto Badías; David González 002; Francisco Chinesta; Elías Cueto (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Regularized regressions for parametric models based on separated representations. - Abel Sancarlos; Victor Champaney; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2023)

Thermodynamics-informed super-resolution of scarce temporal dynamics data. - Carlos Bermejo-Barbanoj; Beatriz Moya; Alberto Badías; Francisco Chinesta; Elías Cueto (CoRR, 2024)

A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. - Pau Urdeitx; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2024)

On the feasibility of foundational models for the simulation of physical phenomena. - Alicia Tierz; Mikel M. Iparraguirre; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (CoRR, 2024)

Thermodynamics-informed graph neural networks for real-time simulation of digital human twins. - Lucas Tesán; David González 002; Pedro Martins 006; Elías Cueto (CoRR, 2024)

Thermodynamics-Informed Graph Neural Networks. - Quercus Hernández; Alberto Badías; Francisco Chinesta; Elías Cueto (IEEE Trans. Artif. Intell., 2024)

Optimal trajectory planning combining model-based and data-driven hybrid approaches. - Chady Ghnatios; Daniele Di Lorenzo; Victor Champaney; Amine Ammar; Elías Cueto; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2024)

Graph neural networks informed locally by thermodynamics. - Alicia Tierz; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Eng. Appl. Artif. Intell., 2025)

On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition. - Lucas Tesán; Mikel M. Iparraguirre; David Gonzalez; Pedro Martins 006; Elías Cueto (CoRR, 2025)

A neural network architecture for physically-consistent haptic rendering. - Quercus Hernández; Pedro Martins 006; Lucas Tesán; Icíar Alfaro; David González 002; Francisco Chinesta; Elías Cueto (Virtual Real., 2025)