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Salvatore Campione

Researcher at Sandia National Laboratories

Publications -  208
Citations -  4677

Salvatore Campione is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Metamaterial & Resonator. The author has an hindex of 31, co-authored 206 publications receiving 3850 citations. Previous affiliations of Salvatore Campione include Polytechnic University of Turin & University of California, Irvine.

Papers
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Monolithic metallic nanocavities for strong light-matter interaction to quantum-well intersubband excitations.

TL;DR: The design, realization and characterization of strong coupling between an intersubband transition and a monolithic metamaterial nanocavity in the mid-infrared spectral range is presented and the conductive ground plane is implemented using a highly doped n+ layer.
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Strong Coupling in All-Dielectric Intersubband Polaritonic Metasurfaces.

TL;DR: In this article, the authors demonstrate strong polaritonic coupling between Mie photonic modes and intersubband transitions in semiconductor heterostructures, along with demonstrating ISB polaritons with Rabi splitting as large as 10%.
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Spectral filtering using active metasurfaces compatible with narrow bandgap III-V infrared detectors.

TL;DR: This work fabricates a complementary metasurface strongly coupled to an epsilon-near-zero (ENZ) mode operating in the long-wave region of the infrared spectrum and shows numerically the expected tunable spectral behavior of such coupled system under reverse and forward bias, which could be used in future electrically tunable detectors.
Posted Content

Viscoelastic optical nonlocality of low-loss epsilon-near-zero nanofilms

TL;DR: Experimental observation of viscoelastic nonlocalities in the infrared optical response of epsilon-near-zero nanofilms made of low-loss doped cadmium-oxide and evidence of the existence of nonlocal damping, i.e., viscosity, in the motion of optically-excited conduction electrons using a combination of spectroscopic ellipsometry data and predictions based on the vis coelastic hydrodynamic model.