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. Owing 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.
Ice phonon spectra and Bayes inference: A gateway to a new understanding of terahertz sound propagation in water
De Francesco, A.
Primo
;Formisano, F.;Bafile, U.;
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. Owing 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.| File | Dimensione | Formato | |
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18. De Francesco_JChemPhys2023.pdf
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18. SI_De Francescor_JChemPhys2023.pdf
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DeFrancesco_JCP2023_Ice.pdf
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Descrizione: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in A. De Francesco, F. Formisano, L. Scaccia, E. Guarini, U. Bafile, A. Alatas, S. T. Lynch, A. Cunsolo; Ice phonon spectra and Bayes inference: A gateway to a new understanding of terahertz sound propagation in water. J. Chem. Phys. 7 April 2023; 158 (13): 134509 and may be found at https://doi.org/10.1063/5.0141372.
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