Klatt, Michael A. and Kim, Jaeuk and Gartner, Thomas E. and Torquato, Salvatore (2024) Local number fluctuations in ordered and disordered phases of water across temperatures: Higher-order moments and degrees of tetrahedrality. Journal of Chemical Physics, 160 (20), pp. 204502-1. American Institute of Physics (AIP). doi: 10.1063/5.0204696. ISSN 0021-9606.
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Official URL: https://dx.doi.org/10.1063/5.0204696
Abstract
The isothermal compressibility (i.e., related to the asymptotic number variance) of equilibrium liquid water as a function of temperature is minimal under near-ambient conditions. This anomalous non-monotonic temperature dependence is due to a balance between thermal fluctuations and the formation of tetrahedral hydrogen-bond networks. Since tetrahedrality is a many-body property, it will also influence the higher-order moments of density fluctuations, including the skewness and kurtosis. To gain a more complete picture, we examine these higher-order moments that encapsulate many-body correlations using a recently developed, advanced platform for local density fluctuations. We study an extensive set of simulated phases of water across a range of temperatures (80-1600 K) with various degrees of tetrahedrality, including ice phases, equilibrium liquid water, supercritical water, and disordered nonequilibrium quenches. We find clear signatures of tetrahedrality in the higher-order moments, including the skewness and excess kurtosis, which scale for all cases with the degree of tetrahedrality. More importantly, this scaling behavior leads to non-monotonic temperature dependencies in the higher-order moments for both equilibrium and non-equilibrium phases. Specifically, under near-ambient conditions, the higher-order moments vanish most rapidly for large length scales, and the distribution quickly converges to a Gaussian in our metric. However, under non-ambient conditions, higher-order moments vanish more slowly and hence become more relevant, especially for improving information-theoretic approximations of hydrophobic solubility. The temperature non-monotonicity that we observe in the full distribution across length scales could shed light on water's nested anomalies, i.e., reveal new links between structural, dynamic, and thermodynamic anomalies.
| Item URL in elib: | https://elib.dlr.de/205051/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Title: | Local number fluctuations in ordered and disordered phases of water across temperatures: Higher-order moments and degrees of tetrahedrality | ||||||||||||||||||||
| Authors: |
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| Date: | 22 May 2024 | ||||||||||||||||||||
| Journal or Publication Title: | Journal of Chemical Physics | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| Volume: | 160 | ||||||||||||||||||||
| DOI: | 10.1063/5.0204696 | ||||||||||||||||||||
| Page Range: | pp. 204502-1 | ||||||||||||||||||||
| Publisher: | American Institute of Physics (AIP) | ||||||||||||||||||||
| Series Name: | Special Collection: Water: Molecular Origins of its Anomalies | ||||||||||||||||||||
| ISSN: | 0021-9606 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Molecular fluctuations, Phase transitions, Thermodynamic properties, Thermal fluctuations, Fluctuation phenomena, Gaussian processes, Monte Carlo methods, Particle distribution functions, Classical statistical mechanics | ||||||||||||||||||||
| HGF - Research field: | other | ||||||||||||||||||||
| HGF - Program: | other | ||||||||||||||||||||
| HGF - Program Themes: | other | ||||||||||||||||||||
| DLR - Research area: | Digitalisation | ||||||||||||||||||||
| DLR - Program: | D - no assignment | ||||||||||||||||||||
| DLR - Research theme (Project): | D - no assignment | ||||||||||||||||||||
| Location: | Ulm | ||||||||||||||||||||
| Institutes and Institutions: | Institute of Materials Physics in Space Institute for AI Safety and Security | ||||||||||||||||||||
| Deposited By: | Klatt, Dr. Michael Andreas | ||||||||||||||||||||
| Deposited On: | 01 Jul 2024 08:15 | ||||||||||||||||||||
| Last Modified: | 23 May 2025 03:00 |
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