David González

30 papers Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MeshGraphNet-Transformer: Scalable Mesh-based Learned Simulation for Solid Mechanics. CoRR Mikel M. Iparraguirre, Icíar Alfaro, David González, Elías Cueto
2026	J	`jnl`	Variational Graph Neural Networks for Uncertainty Quantification in Inverse Problems. CoRR David González, Alba Muixi, Beatriz Moya, Elías Cueto
2025	J	`jnl`	A neural network architecture for physically-consistent haptic rendering. Virtual Real. Quercus Hernández, Pedro Martins, Lucas Tesán, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2025	J	`jnl`	Can Transformers overcome the lack of data in the simulation of history-dependent flows? CoRR Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2025	J	`jnl`	Graph neural networks informed locally by thermodynamics. Eng. Appl. Artif. Intell. Alicia Tierz, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2025	J	`jnl`	Meshgraphnets informed locally by thermodynamics for the simulation of flows around arbitrarily shaped objects. Adv. Model. Simul. Eng. Sci. Carlos Bermejo-Barbanoj, Alberto Badías, David González, Elías Cueto
2025	J	`jnl`	On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition. CoRR Lucas Tesán, Mikel M. Iparraguirre, David González, Pedro Martins, Elías Cueto
2024	J	`jnl`	A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks. CoRR Pau Urdeitx, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	Graph neural networks informed locally by thermodynamics. CoRR Alicia Tierz, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	On the feasibility of foundational models for the simulation of physical phenomena. CoRR Alicia Tierz, Mikel M. Iparraguirre, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2024	J	`jnl`	Thermodynamics-informed graph neural networks for real-time simulation of digital human twins. CoRR Lucas Tesán, David González, Pedro Martins, Elías Cueto
2023	J	`jnl`	Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. IEEE Trans. Pattern Anal. Mach. Intell. Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2022	J	`jnl`	MORPH-DSLAM: Model Order Reduction for Physics-Based Deformable SLAM. IEEE Trans. Pattern Anal. Mach. Intell. Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2022	J	`jnl`	Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids. CoRR Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2021	J	`jnl`	Learning non-Markovian physics from data. J. Comput. Phys. David González, Francisco Chinesta, Elías Cueto
2021	J	`jnl`	Physics perception in sloshing scenes with guaranteed thermodynamic consistency. CoRR Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2021	J	`jnl`	Structure-preserving neural networks. J. Comput. Phys. Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2020	J	`jnl`	Deep learning of thermodynamics-aware reduced-order models from data. CoRR Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2020	J	`jnl`	MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM. CoRR Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2020	J	`jnl`	Structure-preserving neural networks. CoRR Quercus Hernandez, Alberto Badías, David González, Francisco Chinesta, Elías Cueto
2019	J	`jnl`	Data-Driven GENERIC Modeling of Poroviscoelastic Materials. Entropy Chady Ghnatios, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2018	J	`jnl`	A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition. Complex. Rubén Ibáñez, Emmanuelle Abisset-Chavanne, Amine Ammar, David González, Elías Cueto, Antonio Huerta, Jean-Louis Duval, Francisco Chinesta
2018	—	`conf`	Improving the realism of mixed reality through physical simulation. SIGGRAPH Posters Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto
2016	J	`jnl`	Real-time simulation techniques for augmented learning in science and engineering. Vis. Comput. Carlos Quesada, David González, Icíar Alfaro, Elías Cueto, Antonio Huerta, Francisco Chinesta
2015	J	`jnl`	An error estimator for real-time simulators based on model order reduction. Adv. Model. Simul. Eng. Sci. Icíar Alfaro, David González, Sergio Zlotnik, Pedro Díez, Elías Cueto, Francisco Chinesta
2015	J	`jnl`	Effect of the separated approximation of input data in the accuracy of the resulting PGD solution. Adv. Model. Simul. Eng. Sci. Sergio Zlotnik, Pedro Díez, David González, Elías Cueto, Antonio Huerta
2015	J	`jnl`	Towards a pancreatic surgery simulator based on model order reduction. Adv. Model. Simul. Eng. Sci. Andrés Mena, David Bel, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta
2014	—	`conf`	PGD-Based Model Reduction for Surgery Simulation: Solid Dynamics and Contact Detection. ISBMS Carlos Quesada, Icíar Alfaro, David González, Elías Cueto, Francisco Chinesta
2012	J	`jnl`	Proper Generalized Decomposition based dynamic data driven inverse identification. Math. Comput. Simul. David González, F. Masson, F. Poulhaon, Adrien Leygue, Elías Cueto, Francisco Chinesta
2007	J	`jnl`	A natural element updated Lagrangian strategy for free-surface fluid dynamics. J. Comput. Phys. David González, Elías Cueto, Francisco Chinesta, Manuel Doblaré