Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Structural analysis of water networks

Academic Article
Publication Date:
2023
abstract:
Liquid water, besides being fundamental for life on Earth, has long fascinated scientists due to several anomalies. Different hypotheses have been put forward to explain these peculiarities. The most accredited one foresees the presence in the supercooled region of two phases at different densities: The low-density liquid phase and the high-density liquid phase. In our previous work [Faccio et al. (2022), J. Mol. Liq., 355, 118922], we showed that it is possible to identify these two forms in water networks through a computational approach based on molecular dynamics simulation and on the calculation of the total communicability of the associated graph, in which the nodes correspond to water molecules and the edges represent the connections (interactions) between molecules. In this article, we present a more in-depth investigation of the application of graph-Theory based approaches to the analysis of the structure of water networks. In particular, we investigate different connectivity and centrality measures and we report on the use of a variety of global metrics aimed at giving a topological and geometrical characterization of liquid water. © 2023 The authors. Published by Oxford University Press. All rights reserved.
Iris type:
01.01 Articolo in rivista
Keywords:
Centrality measures; Global metric; Graph structures; LDL/HDL phase; Liquid Phase; Liquid phasis; Liquid water; Supercooled regions; Two phase; Water networks
List of contributors:
ZANETTI POLZI, Laura
Authors of the University:
ZANETTI POLZI LAURA
Handle:
https://iris.cnr.it/handle/20.500.14243/456851
Published in:
JOURNAL OF COMPLEX NETWORKS (PRINT)
Journal
  • Overview

Overview

URL

https://academic.oup.com/comnet/article/11/1/cnad001/7016784
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)