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Published on: September 17, 2021
Solid-Liquid Interfacial Free Energies from Atomistic Mean-Field Quantum Mechanical Calculations
Hiroshi Nakano1, Tamotsu Hashimoto1, Hisao Nakamura1
1National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan.
Predicting solid-liquid interfacial free energies (IFEs) is challenging. This study introduces a new atomistic quantum mechanical framework for accurate, facet-resolved IFE predictions, revealing solvent effects on crystal morphology.
Area of Science:
- Computational materials science
- Physical chemistry
- Quantum mechanics
Background:
- Solid-liquid interfacial free energies (IFEs) are critical for nucleation, wetting, and crystal morphology.
- Accurate, facet-resolved prediction of IFEs remains a significant computational challenge.
Purpose of the Study:
- To develop a novel, fully atomistic mean-field quantum mechanical framework for accurate IFE calculations.
- To enable quantitative, facet-resolved prediction of solid-liquid IFEs.
- To investigate solvent-dependent crystal morphology and stabilization.
Main Methods:
- Integration of a first-principles solid surface with a classical liquid using particle-mesh electrostatics and mean-field approximation.
- A two-stage thermodynamic integration protocol with auxiliary potentials.
- A long-range correction scheme for solid-liquid dispersion interactions.
Main Results:
- Validated methodology against Einstein crystal and dielectric model benchmarks for NaCl-water and PbS-water interfaces.
- Predicted solvent-dependent Wulff morphologies for LiFePO4 facets in water and ethylene glycol.
- Identified enhanced stabilization of the (010) facet due to facet-specific hydroxyl coordination and solvent accessibility.
Conclusions:
- The developed framework enables accurate, facet-resolved IFE predictions.
- The study provides molecular-level insights into solvent effects on crystal facet stabilization and morphology.
- This work advances the computational prediction of interfacial phenomena in materials science.
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