J
José M. Taboada
Researcher at University of Extremadura
Publications - 182
Citations - 2982
José M. Taboada is an academic researcher from University of Extremadura. The author has contributed to research in topics: Integral equation & Fast multipole method. The author has an hindex of 27, co-authored 171 publications receiving 2419 citations. Previous affiliations of José M. Taboada include University of Vigo.
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Journal ArticleDOI
Micelle-directed chiral seeded growth on anisotropic gold nanocrystals
Guillermo González-Rubio,Jesús Mosquera,Vished Kumar,Adrián Pedrazo-Tardajos,Pablo Llombart,Pablo Llombart,Diego M. Solís,Ivan Lobato,Eva G. Noya,Andrés Guerrero-Martínez,José M. Taboada,Fernando Obelleiro,Luis G. MacDowell,Sara Bals,Luis M. Liz-Marzán +14 more
TL;DR: Surfactant-assisted seeded growth of metal nanoparticles (NPs) can be engineered to produce anisotropic gold nanocrystals with high chiroptical activity through the templating effect of chiral micelles formed in the presence of dissymmetric cosurfactants.
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Toward Ultimate Nanoplasmonics Modeling
Diego M. Solís,José M. Taboada,Fernando Obelleiro,Luis M. Liz-Marzán,F. Javier García de Abajo +4 more
TL;DR: The optical response of unprecedentedly large systems can be accurately calculated by using a combination of surface integral equation (SIE) method of moments (MoM) formulation and an expansion of the electromagnetic fields in a suitable set of spatial wave functions via fast multipole methods.
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Optimization of Nanoparticle-Based SERS Substrates through Large-Scale Realistic Simulations
Diego M. Solís,José M. Taboada,Fernando Obelleiro,Luis M. Liz-Marzán,F. Javier García de Abajo,F. Javier García de Abajo +5 more
TL;DR: This work uses state-of-the-art electromagnetic computation techniques to produce predictive simulations for a wide range of nanoparticle-based SERS substrates, including realistic configurations consisting of random arrangements of hundreds of nanoparticles with various morphologies, to derive rules of thumb for the influence of particle anisotropy and substrate coverage on the obtained SERS enhancement and optimum spectral ranges of operation.
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A Bayesian network analysis of workplace accidents caused by falls from a height
TL;DR: In this paper, the authors used Bayesian networks to identify the causes of workplace accidents involving auxiliary equipment, such as the adoption of incorrect postures during work and a worker's inadequate knowledge of safety regulations.
Journal ArticleDOI
Mlfma-fft parallel algorithm for the solution of large-scale problems in electromagnetics
José M. Taboada,Marta Gomez Araujo,J. M. Bertolo,Luis Landesa,Fernando Obelleiro,Jose Rodriguez +5 more
TL;DR: An e–cient hybrid MPI/OpenMP parallel implementation of an innovative approach that combines the Fast Fourier Transform and Multilevel Fast Multipole Algorithm has been successfully used to solve an electromagnetic problem involving 620millions of unknowns.