2014
DOI: 10.1063/1.4860495
|View full text |Cite
|
Sign up to set email alerts
|

Thermodynamic stability of nanosized multicomponent bubbles/droplets: The square gradient theory and the capillary approach

Abstract: Formation of nanosized droplets/bubbles from a metastable bulk phase is connected to many unresolved scientific questions. We analyze the properties and stability of multicomponent droplets and bubbles in the canonical ensemble, and compare with single-component systems. The bubbles/droplets are described on the mesoscopic level by square gradient theory. Furthermore, we compare the results to a capillary model which gives a macroscopic description. Remarkably, the solutions of the square gradient model, repre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

2
43
0

Year Published

2014
2014
2022
2022

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 36 publications
(45 citation statements)
references
References 50 publications
2
43
0
Order By: Relevance
“…[31]), while the larger bubbles are roughly spherical. The vapor-liquid transitions are smooth and wide, as found in DFT [17] and square gradient [18] calculations. Comparisons with bubble density profiles show that our volume estimates V based on the number of lowdensity cells are reliable: The resulting spherical radii r MD = (3V /4π ) 1/3 lie only slightly below the equimolar radii, which would be the radius of a constant density bubble with a sharp interface (where the density jumps from the central value ρ V to the bulk liquid value ρ L ) and the same integrated mass [13].…”
Section: Void Identification and Bubble Propertiesmentioning
confidence: 68%
See 1 more Smart Citation
“…[31]), while the larger bubbles are roughly spherical. The vapor-liquid transitions are smooth and wide, as found in DFT [17] and square gradient [18] calculations. Comparisons with bubble density profiles show that our volume estimates V based on the number of lowdensity cells are reliable: The resulting spherical radii r MD = (3V /4π ) 1/3 lie only slightly below the equimolar radii, which would be the radius of a constant density bubble with a sharp interface (where the density jumps from the central value ρ V to the bulk liquid value ρ L ) and the same integrated mass [13].…”
Section: Void Identification and Bubble Propertiesmentioning
confidence: 68%
“…More recently density functional theory (DFT) [12,17], square gradient theory [18] and some modifications of the classical theory [19,20] have been employed to model the bubble nucleation process. Measuring bubble nucleation rates in a perfectly homogeneous liquid is very challenging in laboratory experiments [21], but can be achieved in principle in computer simulations, both with the Monte Carlo method [22] and with molecular dynamics (MD) [11,[23][24][25][26][27][28][29][30][31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…For small bubbles, the negative pressure in the Laplace equation becomes so large, that the liquid phase will stretch to fill the entire container, thereby collapsing the bubble. 24,31 For droplet condensation, this situation happens because droplet formation occurs at the expenses of the surrounding vapor. For sufficiently small systems, the formation of the liquid drop can deplete the supersaturation so much that sufficiently large droplets cannot form.…”
mentioning
confidence: 99%
“…It holds irrespective of any capillary approximation or assumption of a constant surface tension, as evidenced by the fact that it also appears in density functional calculations in closed volumes. 24,31,35 At these conditions, that are experimentally feasible, it would be possible to control and prevent the explosive boiling of liquids, the cavitation of overstretched fluids, and to measure accurate equations of state for fluids in deeply metastable regions. This would thus have striking consequences in a wide variety of scientific and industrial phenomena.…”
mentioning
confidence: 99%
See 1 more Smart Citation