Zobrazeno 1 - 10
of 1 075
pro vyhledávání: '"Jiménez Alberto"'
Autor:
Luo, Yang, Sheng, Shaoxiang, Schirato, Andrea, Martin-Jimenez, Alberto, Della Valle, Giuseppe, Cerullo, Giulio, Kern, Klaus, Garg, Manish
Probing and manipulating the spatiotemporal dynamics of hot carriers in nanoscale metals is crucial to a plethora of applications ranging from nonlinear nanophotonics to single molecule photochemistry. The direct investigation of these highly non-equ
Externí odkaz:
http://arxiv.org/abs/2411.04441
Autor:
Luo, Yang, Sheng, Shaoxiang, Pisarra, Michele, Jimenez, Alberto Martin, Martin, Fernando, Kern, Klaus, Garg, Manish
The capability to excite, probe, and manipulate vibrational modes is essential for understanding and controlling chemical reactions at the molecular level. Recent advancements in tip-enhanced Raman spectroscopies have enabled the probing of vibration
Externí odkaz:
http://arxiv.org/abs/2403.09328
Autor:
Mateos, David, Jover, Oscar, Varea, Miguel, Lauwaet, Koen, Granados, Daniel, Miranda, Rodolfo, Fernandez-Dominguez, Antonio I., Martin-Jimenez, Alberto, Otero, Roberto
Plasmonic nanoantennas, metallodielectric structures with engineered size and shape, have attracted much attention lately as they make the control of the directionality and temporal characteristics of light emitted by fluorophores possible. Nanoanten
Externí odkaz:
http://arxiv.org/abs/2402.01151
Publikováno v:
Management Systems in Production Engineering, Vol 25, Iss 3, Pp 158-162 (2017)
Stability detection in machining processes is an essential component for the design of efficient machining processes. Automatic methods are able to determine when instability is happening and prevent possible machine failures. In this work a variety
Externí odkaz:
https://doaj.org/article/ecd671d6698f44719bdcb878a9b8d027
Coherent collective oscillations of electrons excited in metallic nanostructures (localized surface plasmons) can confine incident light to atomic scales and enable strong light-matter interactions, which depend nonlinearly on the local field. Direct
Externí odkaz:
http://arxiv.org/abs/2303.16647
Autor:
Kurbatskaya, Anna, Jaramillo-Jimenez, Alberto, Ochoa-Gomez, John Fredy, Brønnick, Kolbjørn, Fernandez-Quilez, Alvaro
As the number of automatic tools based on machine learning (ML) and resting-state electroencephalography (rs-EEG) for Parkinson's disease (PD) detection keeps growing, the assessment of possible exacerbation of health disparities by means of fairness
Externí odkaz:
http://arxiv.org/abs/2303.06376
Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study
Autor:
Kurbatskaya, Anna, Jaramillo-Jimenez, Alberto, Ochoa-Gomez, John Fredy, Brønnick, Kolbjørn, Fernandez-Quilez, Alvaro
Resting-state EEG (rs-EEG) has been demonstrated to aid in Parkinson's disease (PD) diagnosis. In particular, the power spectral density (PSD) of low-frequency bands ({\delta} and {\theta}) and high-frequency bands ({\alpha} and \b{eta}) has been sho
Externí odkaz:
http://arxiv.org/abs/2303.01389
Autor:
Luo, Yang, Martin-Jimenez, Alberto, Pisarra, Michele, Martin, Fernando, Garg, Manish, Kern, Klaus
The motion of atoms is at the heart of any chemical or structural transformation in molecules and materials. Upon activation of this motion by an external source, several (usually many) vibrational modes can be coherently coupled, thus facilitating t
Externí odkaz:
http://arxiv.org/abs/2210.02561