L
Luca Dal Negro
Researcher at Boston University
Publications - 245
Citations - 8236
Luca Dal Negro is an academic researcher from Boston University. The author has contributed to research in topics: Plasmon & Photonics. The author has an hindex of 45, co-authored 234 publications receiving 7237 citations. Previous affiliations of Luca Dal Negro include University of Trento & University of Saint Mary.
Papers
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Journal ArticleDOI
Engineered SERS substrates with multiscale signal enhancement: nanoparticle cluster arrays.
Bo Yan,Anupama J. Thubagere,W. Ranjith Premasiri,Lawrence D. Ziegler,Luca Dal Negro,Björn M. Reinhard +5 more
TL;DR: The observed dependencies of the Raman signals on n and Lambda indicate that NCAs support a multiscale signal enhancement which originates from simultaneous inter- and intracluster coupling and |E|-field enhancement.
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Optical super-resolution by high-index liquid-immersed microspheres
TL;DR: In this article, it was shown that barium titanate glass microspheres with diameters in the range 2-220μm and with high refractive index (n∼∆ 1.9-2.1) can be used for super-resolution imaging of liquid-immersed nanostructures.
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Light transport through the band-edge states of Fibonacci quasicrystals.
Luca Dal Negro,Claudio J. Oton,Zeno Gaburro,Lorenzo Pavesi,P.M. Johnson,Aart Lagendijk,Aart Lagendijk,Roberto Righini,Marcello Colocci,Diederik S. Wiersma +9 more
TL;DR: The propagation of light in nonperiodic quasicrystals is studied by ultrashort pulse interferometry and a theoretical description based on transfer matrix theory allows to interpret the results in terms of Fibonacci band-edge resonances.
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Physics-informed neural networks for inverse problems in nano-optics and metamaterials.
TL;DR: In this paper, a physics-informed neural network (PINN) was applied to retrieve the effective permittivity parameters of a number of finite-size scattering systems that involve many interacting nanostructures as well as multi-component nanoparticles.
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Deterministic aperiodic arrays of metal nanoparticles for surface-enhanced Raman scattering (SERS)
TL;DR: The ability to rigorously design lithographically fabricated DA arrays of metal nanoparticles enables the optimization and control of highly localized plasmonic fields for a variety of chip-scale devices, such as more reproducible SERS substrates, label-free bio-sensors and non-linear elements for nano-plasmonics.