Beatriz Moya

18 papers Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-model probabilistic framework for seismic risk assessment and retrofit planning of electric power networks.
Reliab. Eng. Syst. Saf.
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi
2026 J jnl
Quantifying the value of seismic structural health monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement.
Reliab. Eng. Syst. Saf.
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi
2026 J jnl
Resilience-based post disaster recovery optimization for infrastructure system via deep reinforcement learning.
Reliab. Eng. Syst. Saf.
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi
2026 J jnl
Stress-constrained Topology Optimization for Metamaterial Microstructure Design.
CoRR
Yanda Chen, Sebastian Rodriguez, Beatriz Moya, Francisco Chinesta
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 Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks.
CoRR
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi
2025 J jnl
Application of Reduced-Order Models for Temporal Multiscale Representations in the Prediction of Dynamical Systems.
CoRR
Elias Al Ghazal, Jad Mounayer, Beatriz Moya, Sebastian Rodriguez, Chady Ghnatios, Francisco Chinesta
2025 J jnl
Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework.
CoRR
M. Gorpinich, Beatriz Moya, Sebastian Rodriguez, F. Meraghni, Y. Jaafra, A. Briot, M. Henner, R. Leon, Francisco Chinesta
2025 J jnl
Quantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement.
CoRR
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi
2025 J jnl
Variational Rank Reduction Autoencoders for Generative Thermal Design.
CoRR
Alicia Tierz, Jad Mounayer, Beatriz Moya, Francisco Chinesta
2024 J jnl
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs.
J. Comput. Phys.
Federico Pichi, Beatriz Moya, Jan S. Hesthaven
2024 J jnl
Resilience-based post disaster recovery optimization for infrastructure system via Deep Reinforcement Learning.
CoRR
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni N. Chatzi
2024 J jnl
Thermodynamics-informed super-resolution of scarce temporal dynamics data.
CoRR
Carlos Bermejo-Barbanoj, Beatriz Moya, Alberto Badías, Francisco Chinesta, Elías Cueto
2023 J jnl
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs.
CoRR
Federico Pichi, Beatriz Moya, Jan S. Hesthaven
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
Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids.
CoRR
Beatriz Moya, Alberto Badías, 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
2020 — conf
Learning Physics from Data: A Thermodynamic Interpretation.
SPIGL
Francisco Chinesta, Elías Cueto, Miroslav Grmela, Beatriz Moya, Michal Pavelka, Martin Sípka