2019
DOI: 10.1364/osac.2.001285
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Quantum and bistable magneto-conductive signatures in multiwall carbon nanotubes decorated with bimetallic Ni and Pt nanoparticles driven by phonons

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Cited by 10 publications
(3 citation statements)
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“…Finally, it is worth mentioning that other Ni nanostructures have been used to coat semiconductors, leading to interesting magnetic effects. For instance, carbon nanotubes decorated with Ni nanoparticles have been applied for sensing quantum wave propagations in a variable magnetic field [ 40 ]. The advantage of Ni against carbon allotropes is their adhesive strength on substrates.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, it is worth mentioning that other Ni nanostructures have been used to coat semiconductors, leading to interesting magnetic effects. For instance, carbon nanotubes decorated with Ni nanoparticles have been applied for sensing quantum wave propagations in a variable magnetic field [ 40 ]. The advantage of Ni against carbon allotropes is their adhesive strength on substrates.…”
Section: Resultsmentioning
confidence: 99%
“…Most of Pt-CNT were studied as electrocatalyst [9,10] and sensor [11]. The linear optical properties of Pt-CNT in the UV-vis range have shown a plasmon resonance absorbance at 235 nm [12] and 253 nm [13], while the investigation of their NLO responses, specifically the third-order NLO properties have shown the photothermal and thermo-conductive effects of Pt-MWCNTs induced by nanosecond pulse irradiation revealed an effective phonon-photon interaction in the samples which modulated by nanosecond pulses at 532 nm wavelength [14].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, hierarchical carbon nanostructures have been attractive as a platform for the fabrication of plasmonic-based sensors. The light-to-physical conversion efficiencies of CNT have been tailored to be significantly larger for specific quantum processes derived from metal decoration methods [18]. In addition, polarization and irradiance conditions can be chosen to produce multivalent effects that can be explained by simple fractional models in real applications [19].…”
Section: Introductionmentioning
confidence: 99%