Observation of hypersonic phononic crystal effects in porous silicon superlattices
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Keywords
Artificial neural network approach; Artificial neural network models; Back-propagation neural networks; Calibration intervals; Default setting; Flood forecasting; Flow data; General regression neural network; Learning rates; Newfoundlands; Nonparametric methods; River basins; River flow forecasting; Routing methods; Training parameters; Training process; Water resources management
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Volume
95
Issue
4
Publisher
American Institute of Physics
Abstract
Brillouin light scattering experiments were carried out on porous silicon superlattices with modulation wavelengths in the range 37–167 nm. Phonon frequencies deduced from the Brillouin spectra show good agreement with those obtained from an elastic continuum model for a system with one-dimensional periodicity. Evidence for the existence of a hypersonic phononic bandgap and zone-folded longitudinal acoustic phonons is reported.