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David Modesto
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Proper generalized decomposition for parameterized Helmholtz problems in heterogeneous and unbounded domains: Application to harbor agitation
D Modesto, S Zlotnik, A Huerta
Computer Methods in Applied Mechanics and Engineering 295, 127-149, 2015
1002015
Proper generalized decomposition of a geometrically parametrized heat problem with geophysical applications
S Zlotnik, P Díez, D Modesto, A Huerta
International Journal for Numerical Methods in Engineering 103 (10), 737-758, 2015
812015
High‐order continuous and discontinuous Galerkin methods for wave problems
G Giorgiani, D Modesto, S Fernández‐Méndez, A Huerta
International Journal for numerical methods in Fluids 73 (10), 883-903, 2013
522013
3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms
O Castillo-Reyes, D Modesto, P Queralt, A Marcuello, J Ledo, ...
Computers & Geosciences 160, 105030, 2022
212022
A parallel tool for numerical approximation of 3D electromagnetic surveys in geophysics
O Castillo Reyes, J Puente, D Modesto, V Puzyrev, JM Cela
Computación y sistemas 20 (1), 29-39, 2016
92016
Fast solution of elliptic harbor agitation problems under frequency-direction input spectra by model order reduction and NURBS-enhanced FEM
D Modesto, B Ye, S Zlotnik, A Huerta
Coastal Engineering 156, 103618, 2020
52020
Elliptic harbor wave model with perfectly matched layer and exterior bathymetry effects
D Modesto, S Fernández-Méndez, A Huerta
Journal of Waterway, Port, Coastal, and Ocean Engineering 142 (5), 04016008, 2016
52016
Fast solution of Maxwell's equations for CSEM simulations by reduced order methods
D Modesto, J De La Puente
SEG International Exposition and Annual Meeting, SEG-2017-17741512, 2017
32017
Source Parameter Sensitivity of Earthquake Simulations assisted by Machine Learning
M Monterrubio-Velasco, JC Carrasco-Jimenez, O Rojas, JE Rodriguez, ...
EGU General Assembly Conference Abstracts, EGU21-5995, 2021
22021
Exploring a priori reduced order models for fast seismic simulations
D Modesto, J De La Puente
78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016
22016
DRL-EPANET: Deep reinforcement learning for optimal control at scale in Water Distribution Systems
A Belfadil, D Modesto
Deep Reinforcement Learning Workshop NeurIPS 2022, 2022
12022
Exploiting a priori model reduction methods to accelerate seismic simulations
D Modesto, J De La Puente
International Conference and Exhibition, Barcelona, Spain, 3-6 April 2016 …, 2016
12016
Machine Learning based Estimator for Ground Shaking Maps in South Iceland Seismic Zone (SISZ)
M Monterrubio-Velasco, R Blanco-Prieto, S Callaghan, D Modesto, ...
Authorea Preprints, 2024
2024
Leveraging Deep Reinforcement Learning for Water Distribution Systems with Large Action Spaces and Uncertainties: DRL-EPANET for Pressure Control
A Belfadil, D Modesto, J Meseguer, B Joseph-Duran, D Saporta, ...
Journal of Water Resources Planning and Management 150 (2), 04023076, 2024
2024
Ground Motion Shaking Predictions Based on Machine Learning and Physics-based Simulations
M Monterrubio-Velasco, S Callaghan, D Modesto, JC Carrasco, RM Badia, ...
2023
Machine Learning based Estimator for ground Shaking maps
M Monterrubio-Velasco, D Modesto, S Callaghan, J de la Puente
GC11-solidearth, 2023
2023
Machine Learning based Estimator for ground Shaking maps applied to the Los Angeles basin region
M Monterrubio-Velasco, S Callaghan, D Modesto, J de la Puente
XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023
2023
A Domain Decomposition Approach for Fast Reduced Order Solutions in Geophysical Exploration
D Modesto, J De la Puente
82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021
2021
Solving parameteric wave propagation models with domain decomposed reduced order methods
P Datta, D Modesto Galende, J De La Puente, JM Cela Espín
Book of abstracts, 38-39, 2019
2019
Application of reduced order modelling in geophysics
P Datta, J Puente, D Modesto Galende
Book of abstracts, 101-102, 2017
2017
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Artículos 1–20