Molecular aggregation in liquid water: Laplace spectra and spectral clustering of H-bonded network
arXiv:2009.00955 · doi:10.1016/j.molliq.2020.114802
Abstract
Application of the spectral clustering method based on the analyses of the Laplace matrix is an acceptable indicator of the global properties of H-bonded network. The first peak of the Laplace spectra contains six eigenvalues. These results suggest that six communities are always formed in our simulated systems independently of the number of molecules in the cubic box. We showed that the H-bonded environment on the surface of the clusters is different from what can be found inside of the clusters. The fraction of four-coordinated molecules is significantly larger in the case of surface molecules. Our work emphasizes that the periodic boundary conditions always cause clustering in the system.
References in corpus (5)
- Finding community structure in networks using the eigenvectors of matrices
- Consistency of spectral clustering
- Laplacian Spectra as a Diagnostic Tool for Network Structure and Dynamics
- Unravelling the contribution of local structures to the anomalies of water: the synergistic action of several factors
- Eigenvalues of Ising Hamiltonian with long-range interactions