Force Fields for Deep Eutectic Mixtures: Application to Structure, Thermodynamics and 2D-Infrared Spectroscopy

Parametrizing energy functions for ionic systems can be challenging. Here, the total energy function for an eutectic system consisting of water, SCN<sup>-</sup>, K<sup>+</sup> and acetamide is improved vis-a-vis experimentally measured properties. Given the importance of electrostatic interactions, two different types of models are considered: the first (model <b>M0</b>) uses atom-centered multipole whereas the other two (models <b>M1</b> and <b>M2</b>) are based on fluctuating minimal distributed charges (fMDCM) that respond to geometrical changes of SCN<sup>-</sup>. The Lennard-Jones parameters of the anion are adjusted to best reproduce experimentally known hydration free energies and densities, which are matched to within a few percent for the final models irrespective of the electrostatic model. Molecular dynamics simulations of the eutectic mixtures with varying water content (between 0 and 100%) yield radial distribution functions and frequency correlation functions for the CN-stretch vibration. Comparison with experiments indicates that models based on fMDCM are considerably more consistent than those using multipoles. Computed viscosities from models <b>M1</b> and <b>M2</b> are within 30% of measured values and their change with increasing water content is consistent with experiments. This is not the case for model <b>M0</b>.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry B
Published
2024-10-24
DOI
https://doi.org/10.1021/acs.jpcb.4c05480
Citations
6
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Force Fields for Deep Eutectic Mixtures: Application to Structure, Thermodynamics and 2D-Infrared Spectroscopy

Markus Meuwly, Eric D. Boittier, Andrea Pasti, Kai Töpfer et al.
6 citations
The Journal of Physical Chemistry B
Phase Equilibria and Thermodynamics
1.11
article

Force Fields for Deep Eutectic Mixtures: Application to Structure, Thermodynamics and 2D-Infrared Spectroscopy

Markus Meuwly, Eric D. Boittier, Andrea Pasti, Kai Töpfer, Peter Hamm, M. Devereux
article en
6 citations

Abstract

Parametrizing energy functions for ionic systems can be challenging. Here, the total energy function for an eutectic system consisting of water, SCN<sup>-</sup>, K<sup>+</sup> and acetamide is improved vis-a-vis experimentally measured properties. Given the importance of electrostatic interactions, two different types of models are considered: the first (model <b>M0</b>) uses atom-centered multipole whereas the other two (models <b>M1</b> and <b>M2</b>) are based on fluctuating minimal distributed charges (fMDCM) that respond to geometrical changes of SCN<sup>-</sup>. The Lennard-Jones parameters of the anion are adjusted to best reproduce experimentally known hydration free energies and densities, which are matched to within a few percent for the final models irrespective of the electrostatic model. Molecular dynamics simulations of the eutectic mixtures with varying water content (between 0 and 100%) yield radial distribution functions and frequency correlation functions for the CN-stretch vibration. Comparison with experiments indicates that models based on fMDCM are considerably more consistent than those using multipoles. Computed viscosities from models <b>M1</b> and <b>M2</b> are within 30% of measured values and their change with increasing water content is consistent with experiments. This is not the case for model <b>M0</b>.

The Journal of Physical Chemistry BVol. 128(44)
University of Basel (CH), University of Zurich (CH)
Universität Basel, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 24%
Phase Equilibria and Thermodynamics
1.11
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.