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Concentration Fluctuation/Microheterogeneity Duality Illustrated with Aqueous 1,4-Dioxane Mixtures
Alena Kolaříková1,2, Aurélien Perera1
1Sorbonne Université, Laboratoire de Physique Théorique de la Matière Condensée (UMR CNRS 7600), 4 Place Jussieu, F75252 Paris cedex 05, France.
Computer simulations reveal how molecular structures in aqueous 1-4 dioxane mixtures influence measurable properties. A new correction method for Kirkwood-Buff integrals (KBIs) provides accurate mixture analysis across all concentrations.
Area of Science:
- Physical Chemistry
- Computational Chemistry
- Materials Science
Background:
- Understanding aqueous mixtures is crucial for various chemical applications.
- 1-4 dioxane mixtures exhibit complex structural behavior influenced by molecular interactions.
- Simulations are vital for probing molecular-level properties inaccessible through experiments alone.
Purpose of the Study:
- To investigate the structural properties of aqueous 1-4 dioxane mixtures using computer simulations.
- To link molecular-level structural characteristics to measurable properties like radiation scattering and Kirkwood-Buff integrals (KBIs).
- To develop and validate a consistent correction strategy for KBIs derived from simulations.
Main Methods:
- Utilizing computer simulations with various water and 1-4 dioxane force field models.
- Applying a novel strategy for correcting simulated Kirkwood-Buff integrals (KBIs).
- Analyzing the impact of water aggregates and model dependence on mixture structure.
Main Results:
- A reliable method for obtaining genuine KBIs for aqueous 1-4 dioxane mixtures was established.
- Differences in mixture structure were elucidated, highlighting the role of water aggregates.
- The study revealed the model-dependent nature of structural properties, particularly concerning water models like SPC/E and TIP3P.
Conclusions:
- The proposed KBI correction method enables accurate analysis of aqueous mixtures across all concentrations.
- Simulations provide insights into the molecular basis of concentration fluctuations and domain segregation in mixtures.
- These findings are essential for interpreting experimental data, such as X-ray spectra, and understanding mixture behavior.
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