Structure making and breaking effects of ions on the anomalous diffusion of water revealed by machine learning potentials

The dynamics of water exhibits anomalous behavior in the solvation of ions, and understanding the perturbation that ions make on the hydrogen bond structure of water remains an open question. In this study, we investigate the anomalous diffusion behavior of water and its molecular origins in aqueous NaCl and CsI solutions using deep machine learning potentials developed at the MP2 level of theory. Our simulations reveal a suppression of water diffusion in NaCl solutions and an enhancement of water diffusion in CsI solutions across various salt concentrations, reproducing the experimental observations. We further explore the microscopic origins of this anomalous diffusion behavior by examining the structural changes of the water hydrogen bond network, as well as the vibrational properties of water molecules. Our findings highlight the distinct roles that different ions play in modulating the structure and dynamic behavior of water in salt solutions, and provide key insights into the fundamental mechanisms of structure making and breaking that govern the anomalous diffusion of water.

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Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cp01180a
Citations
2
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
2.49

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article

Structure making and breaking effects of ions on the anomalous diffusion of water revealed by machine learning potentials

Xiaojing Zhou, Xiao Dong He, Jinfeng Liu
2 citations
Physical Chemistry Chemical Physics
Spectroscopy and Quantum Chemical Studies
2.49
article

Structure making and breaking effects of ions on the anomalous diffusion of water revealed by machine learning potentials

Xiaojing Zhou, Xiao Dong He, Jinfeng Liu
article en
2 citations

Abstract

The dynamics of water exhibits anomalous behavior in the solvation of ions, and understanding the perturbation that ions make on the hydrogen bond structure of water remains an open question. In this study, we investigate the anomalous diffusion behavior of water and its molecular origins in aqueous NaCl and CsI solutions using deep machine learning potentials developed at the MP2 level of theory. Our simulations reveal a suppression of water diffusion in NaCl solutions and an enhancement of water diffusion in CsI solutions across various salt concentrations, reproducing the experimental observations. We further explore the microscopic origins of this anomalous diffusion behavior by examining the structural changes of the water hydrogen bond network, as well as the vibrational properties of water molecules. Our findings highlight the distinct roles that different ions play in modulating the structure and dynamic behavior of water in salt solutions, and provide key insights into the fundamental mechanisms of structure making and breaking that govern the anomalous diffusion of water.

Physical Chemistry Chemical PhysicsVol. 27(23)
Chongqing Normal University (CN), China Pharmaceutical University (CN), New York University Shanghai (CN), East China Normal University (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Shanghai Municipal Education Commission, Natural Science Foundation of Chongqing, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 12%
Spectroscopy and Quantum Chemical Studies
2.49
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