Large Decrease of Fluctuations for Supercooled Water in Hydrophobic Nanoconfinement
Using Monte Carlo simulations, we study a coarse-grained model of a water layer confined in a fixed disordered matrix of hydrophobic nanoparticles at different particle concentrations c . For c = 0 , we find a first-order liquid-liquid phase transition (LLPT) ending in one critical point at low pres...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/138021 |
| Acceso en línea: | https://hdl.handle.net/2445/138021 |
| Access Level: | acceso abierto |
| Palabra clave: | Física de partícules Nanopartícules Particle physics Nanoparticles |
| Sumario: | Using Monte Carlo simulations, we study a coarse-grained model of a water layer confined in a fixed disordered matrix of hydrophobic nanoparticles at different particle concentrations c . For c = 0 , we find a first-order liquid-liquid phase transition (LLPT) ending in one critical point at low pressure P . For c > 0 , our simulations are consistent with a LLPT line ending in two critical points at low and high P . For c = 25 % , at high P and low temperature, we find a dramatic decrease of compressibility, thermal expansion coefficient, and specific heat. Surprisingly, the effect is present also for c as low as 2.4%. We conclude that even a small presence of hydrophobic nanoparticles can drastically suppress thermodynamic fluctuations, making the detection of the LLPT more difficult. |
|---|