2019
DOI: 10.1103/physrevlett.123.154501
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Lifetime of a Nanodroplet: Kinetic Effects and Regime Transitions

Abstract: A transition from a d 2 to a d law is observed in molecular dynamics (MD) simulations when the diameter (d) of an evaporating droplet reduces to the order of the vapor's mean free path; this cannot be explained by classical theory. This Letter shows that the d law can be predicted within the Navier-Stokes-Fourier (NSF) paradigm if a temperature-jump boundary condition derived from kinetic theory is utilized. The results from this model agree with those from MD in terms of the total lifetime, droplet radius, an… Show more

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Cited by 26 publications
(37 citation statements)
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“…) these are obtained as Here, superscripts ‘’ and ‘’ denote the pressure-driven case ( and ) and temperature-driven case ( and ), respectively. The results of these two problems can be combined to evaluate the total evaporative mass and heat flux from the droplet (Rana et al 2019). Owing to the microscopic reversibility of the evaporation and condensation processes the Onsager reciprocity relations hold, which give (Chernyak & Margilevskiy 1989; Rana et al 2018 b ).…”
Section: Resultsmentioning
confidence: 99%
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“…) these are obtained as Here, superscripts ‘’ and ‘’ denote the pressure-driven case ( and ) and temperature-driven case ( and ), respectively. The results of these two problems can be combined to evaluate the total evaporative mass and heat flux from the droplet (Rana et al 2019). Owing to the microscopic reversibility of the evaporation and condensation processes the Onsager reciprocity relations hold, which give (Chernyak & Margilevskiy 1989; Rana et al 2018 b ).…”
Section: Resultsmentioning
confidence: 99%
“…Extension of the current work to unsteady flows and coupling to liquid dynamics (Rana et al 2019;Chubynsky et al 2020) can be considered in the future, the liquid phase can be modelled as an incompressible fluid (Stokeset/Oseenlet and heatlet) and the vapour phase modelled via the CCR model. However, it will require solving the moving-boundary problem efficiently within the MFS framework (Jiang et al 2014).…”
Section: Discussionmentioning
confidence: 99%
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