An atomistic approach for modeling of polarizability and Raman scattering of water clusters and liquid water

In this work, we develop a framework for atomistic modeling of electronic polarizability to predict the Raman spectra of hydrogen-bonded clusters and liquids from molecular dynamics (MD) simulations. The total polarizability of the system is assumed to arise from contributions of both the monomer unit and intermolecular interactions. The generalized bond-polarizability model (GBPM), inspired by the classic bond-polarizability model, effectively describes the electronic polarizability of a monomer. To account for the electronic polarizability arising from intermolecular interactions, we use a basis set of rapidly decaying functions of interatomic distances. We apply this model to calculate the electronic polarizability and Raman spectra of water clusters ((H2O)r, r = 2, 3, 4, 5, 6) and liquid water. The computational results are compared with the results of quantum-mechanical calculations for clusters and to experimental data for the liquid. It is demonstrated that this simple and physically motivated model, which relies on a small number of parameters, performs well for clusters at both low and high temperatures, capturing strong anharmonic effects. Moreover, its high transferability suggests its applicability to other water clusters. These results suggest that a hierarchical approach based on the Jacob's ladder of increasingly sophisticated and accurate atomistic polarizability models incorporating additional effects can be used for efficient modeling of Raman spectra from MD simulations of clusters, liquids and solids.

Publication Details

Journal
ArXiv.org
Published
2025-03-19
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An atomistic approach for modeling of polarizability and Raman scattering of water clusters and liquid water

ArXiv.org
Spectroscopy and Quantum Chemical Studies
article

An atomistic approach for modeling of polarizability and Raman scattering of water clusters and liquid water

article en

Abstract

In this work, we develop a framework for atomistic modeling of electronic polarizability to predict the Raman spectra of hydrogen-bonded clusters and liquids from molecular dynamics (MD) simulations. The total polarizability of the system is assumed to arise from contributions of both the monomer unit and intermolecular interactions. The generalized bond-polarizability model (GBPM), inspired by the classic bond-polarizability model, effectively describes the electronic polarizability of a monomer. To account for the electronic polarizability arising from intermolecular interactions, we use a basis set of rapidly decaying functions of interatomic distances. We apply this model to calculate the electronic polarizability and Raman spectra of water clusters ((H2O)r, r = 2, 3, 4, 5, 6) and liquid water. The computational results are compared with the results of quantum-mechanical calculations for clusters and to experimental data for the liquid. It is demonstrated that this simple and physically motivated model, which relies on a small number of parameters, performs well for clusters at both low and high temperatures, capturing strong anharmonic effects. Moreover, its high transferability suggests its applicability to other water clusters. These results suggest that a hierarchical approach based on the Jacob's ladder of increasingly sophisticated and accurate atomistic polarizability models incorporating additional effects can be used for efficient modeling of Raman spectra from MD simulations of clusters, liquids and solids.

ArXiv.org
Clean water and sanitation
Openalex Percentile: Top 53%
Spectroscopy and Quantum Chemical Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.