期刊
CHEMICAL PHYSICS LETTERS
卷 801, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.cplett.2022.139735
关键词
Hydrated ion clusters; Density functional theory; Genetic Algorithm; Infrared Spectrum
资金
- National Natural Science Foundation of China [12174045]
- Shanghai Supercomputer Center
In this study, a global search and optimization of hydrated potassium ion clusters were performed using genetic algorithms and density functional theory. It was discovered that as the cluster size increases, the potassium ion remains on the cluster surface rather than being surrounded by water molecules. Furthermore, the simulated infrared spectra accurately reproduced the experimental results.
Hydrated potassium ion clusters widely exist in salt solutions and biological cells. To explore the configuration of hydrated potassium ions, a global search for the structures from 4 to 10 hydrated potassium ion clusters is performed using the genetic algorithm with density functional theory, followed by high-level ab initio optimization and energetic calculation. Potassium ion remains on the surface of the clusters rather than surrounded by water molecules as the cluster size increases. The simulated infrared (IR) spectra with anharmonic correction of clusters could efficiently reproduce the experimental results. The interaction between the K+ cation and the water molecules resulted in little deviation (<300 cm(-1)) of the adjacent O-H stretching mode.
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