期刊
JOURNAL OF CHEMICAL PHYSICS
卷 154, 期 11, 页码 -出版社
AMER INST PHYSICS
DOI: 10.1063/5.0044330
关键词
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资金
- European Research Council under the European Union [863473]
- GENCI [A0070911054]
- Rhone-Alpes region [CPER07_13 CIRA]
- Equip@Meso project of the programme Investissements d'Avenir [ANR-10-EQPX-29-01]
- European Research Council (ERC) [863473] Funding Source: European Research Council (ERC)
The Gibbs-Thomson equation describes the shift of crystallization temperature for a confined fluid with respect to the bulk, but derivations in the literature often rely on nucleation theory arguments or fail to state assumptions clearly. By revisiting derivations, numerical simulations, and experimental comparisons, the application and limitations of this equation can be clarified.
The Gibbs-Thomson (GT) equation describes the shift of the crystallization temperature for a confined fluid with respect to the bulk as a function of pore size. While this century old relation is successfully used to analyze experiments, its derivations found in the literature often rely on nucleation theory arguments (i.e., kinetics instead of thermodynamics) or fail to state their assumptions, therefore leading to similar but different expressions. Here, we revisit the derivation of the GT equation to clarify the system definition, corresponding thermodynamic ensemble, and assumptions made along the way. We also discuss the role of the thermodynamic conditions in the external reservoir on the final result. We then turn to numerical simulations of a model system to compute independently the various terms entering in the GT equation and compare the predictions of the latter with the melting temperatures determined under confinement by means of hyper-parallel tempering grand canonical Monte Carlo simulations. We highlight some difficulties related to the sampling of crystallization under confinement in simulations. Overall, despite its limitations, the GT equation may provide an interesting alternative route to predict the melting temperature in large pores using molecular simulations to evaluate the relevant quantities entering in this equation. This approach could, for example, be used to investigate the nanoscale capillary freezing of ionic liquids recently observed experimentally between the tip of an atomic force microscope and a substrate.
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