Ikerbasque, Fundación Vasca para la Ciencia-ko ikertzaileekin lankidetzan egindako argitalpenak (113)

2025

  1. Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants

    Engineering Applications of Artificial Intelligence, Vol. 139

2024

  1. Adaptive Deep Fourier Residual method via overlapping domain decomposition

    Computer Methods in Applied Mechanics and Engineering, Vol. 427

  2. Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data

    Structural Health Monitoring

  3. Ensemble Deep Learning for Enhanced Seismic Data Reconstruction

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, pp. 1-11

  4. Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach

    Computers and Mathematics with Applications, Vol. 164, pp. 139-149

  5. Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework

    Engineering with Computers

  6. Robust Variational Physics-Informed Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 425

  7. Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise

    Geophysical Prospecting, Vol. 72, Núm. 3, pp. 965-977

  8. r-Adaptive deep learning method for solving partial differential equations

    Computers and Mathematics with Applications, Vol. 153, pp. 33-42

2023

  1. A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 405

  2. A Deep Fourier Residual method for solving PDEs using Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 405

  3. An exponential integration generalized multiscale finite element method for parabolic problems

    Journal of Computational Physics, Vol. 479

  4. Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations

    Mechanical Systems and Signal Processing, Vol. 200

  5. Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders

    Ocean Engineering, Vol. 287

  6. Fast parallel IGA-ADS solver for time-dependent Maxwell's equations

    Computers and Mathematics with Applications, Vol. 151, pp. 36-49

  7. Machine learning discovery of optimal quadrature rules for isogeometric analysis

    Computer Methods in Applied Mechanics and Engineering, Vol. 416

  8. Memory-Based Monte Carlo Integration for Solving Partial Differential Equations Using Neural Networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  9. Multimodal variational autoencoder for inverse problems in geophysics: Application to a 1-D magnetotelluric problem

    Geophysical Journal International, Vol. 235, Núm. 3, pp. 2598-2613

  10. Neural network architecture optimization using automated machine learning for borehole resistivity measurements

    Geophysical Journal International, Vol. 234, Núm. 3, pp. 2488-2501

  11. On building physics-based AI models for the design and SHM of mooring systems

    Trends in Renewable Energies Offshore - Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022