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We utilize a combined computational-experimental approach to examine the influence of indium nanoparticle (NP) array distributions on deep-ultraviolet (UV) plasmon resonances. For photon energies < 5.7 eV, analysis of ellipsometric spectra reveals an increase in silicon reflectance induced by indium NP arrays on silicon. For various energies in the range 5.7–7.0 eV, a decrease in reflectance is induced by the NP arrays. Similar trends in reflectance are predicted from finite-difference time-domain (FDTD) simulations using NP size distributions extracted from atomic-force micrographs as input. In addition, in the energy range of 7.4–9.2 eV, the FDTD simulations reveal reflectance minima, characteristic of localized surface plasmon resonances. Electron energy-loss spectroscopy collected from individual indium NPs reveals the presence of LSPR at ≈ 8 eV, further supporting the promise of indium NP arrays on silicon for deep-UV plasmonics.more » « lessFree, publicly-accessible full text available July 21, 2026
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De Oliveira Nunes, I.; Hwang, S.; Jakkamsetti, S.; Tsudik, G. (, 2022 IEEE Symposium on Research in Security and Privacy (S&P'23))
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Porter, S. H.; Hwang, S.; Amarasinghe, V.; Taghaddos, E.; Manichev, V.; Li, M.; Gardner, G.; Safari, A.; Garfunkel, E.; Greenblatt, M.; et al (, ECS Transactions)
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Hwang, S.; Porter, S. H.; Gardner, G.; Laursen, A. B.; Wang, H.; Li, M.; Amarasinghe, V.; Taghaddos, E.; Safari, A.; Garfunkel, E.; et al (, ECS Transactions)
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Shiu, S. H.; Kohri, H.; Chang, W. C.; Ahn, D. S.; Ahn, J. K.; Chen, J. Y.; Daté, S.; Ejiri, H.; Fujimura, H.; Fujiwara, M.; et al (, Physical Review C)
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