Publicaciones en colaboración con investigadoras/es de University of Texas at Austin (97)

2024

  1. Columnar liquid crystals based on antiaromatic expanded porphyrins

    Chemical Communications, Vol. 60, Núm. 25, pp. 3401-3404

  2. Robust Variational Physics-Informed Neural Networks

    Computer Methods in Applied Mechanics and Engineering, Vol. 425

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

    Journal of Computational Physics, Vol. 479

  3. Cosmology with the Laser Interferometer Space Antenna

    Living Reviews in Relativity, Vol. 26, Núm. 1

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

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

  5. Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements

    Geophysical Journal International, Vol. 235, Núm. 1, pp. 150-165

  6. The NANOGrav 15yr Data Set: Search for Signals from New Physics

    Astrophysical Journal Letters, Vol. 951, Núm. 1

2022

  1. 2.5-D Deep Learning Inversion of LWD and Deep-Sensing em Measurements Across Formations with Dipping Faults

    IEEE Geoscience and Remote Sensing Letters, Vol. 19

  2. Ab initio self-consistent many-body theory of polarons at all couplings

    Physical Review B, Vol. 106, Núm. 7

  3. Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies

    Journal of High Energy Astrophysics, Vol. 34, pp. 49-211

  4. Exploiting the Kronecker product structure of φ−functions in exponential integrators

    International Journal for Numerical Methods in Engineering, Vol. 123, Núm. 9, pp. 2142-2161

  5. Real-Time 2.5D Inversion of LWD Resistivity Measurements Using Deep Learning for Geosteering Applications Across Faulted Formations

    Petrophysics, Vol. 63, Núm. 4, pp. 506-518

  6. Unified Approach to Polarons and Phonon-Induced Band Structure Renormalization

    Physical Review Letters, Vol. 129, Núm. 7

2021

  1. A DPG-based time-marching scheme for linear hyperbolic problems

    Computer Methods in Applied Mechanics and Engineering, Vol. 373

  2. Deep Learning Driven Self-adaptive Hp Finite Element Method

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

  3. Equivalence between the DPG method and the exponential integrators for linear parabolic problems

    Journal of Computational Physics, Vol. 429

  4. Error control and loss functions for the deep learning inversion of borehole resistivity measurements

    International Journal for Numerical Methods in Engineering, Vol. 122, Núm. 6, pp. 1629-1657

  5. Identification of Tse8 as a Type VI secretion system toxin from Pseudomonas aeruginosa that targets the bacterial transamidosome to inhibit protein synthesis in prey cells

    Nature Microbiology, Vol. 6, Núm. 9, pp. 1199-1210

  6. The emerging landscape of single-molecule protein sequencing technologies

    Nature Methods, Vol. 18, Núm. 6, pp. 604-617