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Updated: Feb 15, 2026

A Microfluidic Approach for the Study of Ice and Clathrate Hydrate Crystallization
Published on: August 18, 2022
Assessing Intermolecular Interactions in Guest-Free Clathrate Hydrate Systems.
Iván León-Merino1, Raúl Rodríguez-Segundo1, Daniel J Arismendi-Arrieta1
1Institute of Fundamental Physics (IFF-CSIC), CSIC , Serrano 123, 28006 Madrid, Spain.
This study evaluates water models and density functional theory (DFT) for predicting the stability of empty hydrate structures. Results show dispersion corrections improve DFT accuracy for these complex ice structures.
Area of Science:
- Computational chemistry
- Materials science
- Physical chemistry
Background:
- Empty hydrate structures (sI, sII, sH) are low-density ice forms studied experimentally and computationally.
- Their synthesis motivates research into the stability of guest-free clathrate structures.
Purpose of the Study:
- To predict the stability of empty hydrate structures using advanced computational methods.
- To assess the accuracy of various water models and density functional approximations (DFAs) for these systems.
- To establish benchmark interaction energies for clathrate-like water systems.
Main Methods:
- Employed semiempirical and ab initio-based water models alongside dispersion-corrected density functional theory (DFT).
- Utilized converged wave function-based DF-MP2 calculations for reference data.
- Applied extrapolation schemes with large basis sets (triple/quadruple and quadruple/quintuple ζ) and counterpoise corrections for high accuracy.
- Tested eleven water structures from the WATER27 database and clathrate cavities (sI, sII, sH) with varying numbers of water molecules.
Main Results:
- New benchmark interaction energies were reported for dodecahedron, edge/face-sharing, and fused cube water clusters, and sI, sII, sH clathrate cavities.
- Assessed the performance of seven popular water models and nine DFAs (meta-GGAs, hybrids, range-separated) against benchmark data.
- Dispersion corrections were found to reduce interaction energy errors for most DFT functionals.
- Identified general trends for extending the applicability of models to larger systems despite current limitations.
Conclusions:
- Accurate prediction of empty hydrate stability requires large basis sets and counterpoise corrections.
- Dispersion-corrected DFT shows promise for studying clathrate-like systems, though challenges remain.
- The study provides valuable benchmark data and insights into the performance of computational methods for water clusters and hydrates.
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