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Updated: Sep 25, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Can molecular simulations reliably compare homogeneous and heterogeneous ice nucleation?
Dominic Atherton1, Angelos Michaelides1, Stephen J Cox1
1Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
The way intermolecular interactions are treated affects water simulations. Using a common "cut-and-shift" method for Lennard-Jones potentials systematically increases the melting temperature of ice Ih.
Area of Science:
- Computational chemistry
- Materials science
- Thermodynamics
Background:
- Simulations of water's phase behavior require accurate modeling of intermolecular interactions.
- Different truncation schemes for potentials are used in homogeneous versus heterogeneous systems.
- This discrepancy can lead to inaccuracies in predicting properties like ice melting points.
Purpose of the Study:
- To assess the impact of different truncation schemes on simulating water in homogeneous and inhomogeneous environments.
- To investigate the effect of the "cut-and-shift" Lennard-Jones potential on ice Ih melting temperature.
- To re-evaluate the magnitude of enhancements observed in heterogeneous nucleation.
Main Methods:
- Explicit free energy calculations were performed.
- A mean field analysis was employed.
- Literature data for homogeneous ice nucleation at negative pressures were analyzed.
Main Results:
- The "cut-and-shift" truncation scheme for the Lennard-Jones potential systematically increases the melting temperature of ice Ih.
- This effect is analogous to changes in pressure.
- Potential overestimation of heterogeneous nucleation enhancements by several orders of magnitude was suggested.
Conclusions:
- The choice of truncation scheme significantly impacts the simulated melting temperature of ice Ih.
- Standard simulation methods may overestimate the benefits of heterogeneous nucleation.
- Careful consideration of potential truncation is crucial for accurate water simulations.
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