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Ice phonon spectra and Bayes inference: a gateway to a new understanding of terahertz sound propagation in water

Articolo
Data di Pubblicazione:
2023
Abstract:
Understanding how molecules engage in collective motions in a liquid where a network of bonds exists has both fundamental and applied relevance. On the one hand, it can elucidate the "ordering" role of long-range correlations and inspire new avenues to control such order to implement sound manipulation. Water represents an ideal investigation case to unfold these general aspects and, across the decades, it has been the focus of thorough scrutiny. Despite this investigative effort, the spectrum of terahertz density fluctuations of water largely remains a puzzle for Condensed Matter physicists. To unravel it, we compare previous scattering measurements of water spectra with new ones on ice. Thanks to the unique asset of Bayesian inference, we draw a more detailed portrayal of the phonon response of ice. The comparison with the one of liquid water challenges the current understanding of density fluctuations in water, or more in general, of any networked liquid.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
phonon propagation; polycrystalline ice; Bayesian inference; model choice; inelastic x-ray scattering
Elenco autori:
Bafile, Ubaldo; Formisano, Ferdinando; DE FRANCESCO, Alessio
Autori di Ateneo:
DE FRANCESCO ALESSIO
FORMISANO FERDINANDO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/437139
Pubblicato in:
THE JOURNAL OF CHEMICAL PHYSICS
Journal
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https://aip.scitation.org/doi/pdf/10.1063/5.0141372
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