Energetics of smalln-pentanol clusters from droplet nucleation rate data

2000 ◽  
Vol 112 (12) ◽  
pp. 5393-5398 ◽  
Author(s):  
Michael Knott ◽  
Hanna Vehkamäki ◽  
Ian J. Ford
2008 ◽  
Vol 90 (2-4) ◽  
pp. 303-312 ◽  
Author(s):  
Jussi Malila ◽  
Antti-Pekka Hyvärinen ◽  
Yrjö Viisanen ◽  
Ari Laaksonen

Author(s):  
Jan Hrubý ◽  
Michal Duška ◽  
Tomáš Němec ◽  
Michal Kolovratník

We compare experimental nucleation rates for water vapour in various carrier gases, estimated nucleation rates for steam, and nucleation rates obtained from molecular simulations. The data for steam are deduced from empirical adjustments of the classical nucleation theory developed by various authors to reproduce pressure and optical data for condensing steam flows in converging-diverging nozzles and turbine stages. By combining the data for nucleation in carrier gases and the data for steam nucleation, an unprecedented temperature range of 250 K is available to study the temperature dependence of nucleation rate. Original results of molecular dynamic simulations for TIP4P/2005 force field in the NVE (system constrained by number of particles, volume and energy) conditions are provided. Correction of classical nucleation theory for non-isothermal nucleation conditions is applied to experimental and simulated data. The nucleation rate data for steam follow a similar temperature trend as the nucleation rate data for water vapour in carrier gases at lower temperatures. The ratio of observed nucleation rates to classical nucleation theory predictions decreases more steeply with temperature than the empirical correlation by Wölk et al. ( J Chem Phys 2002; 117: 4954–4960). On the contrary to experimental data, the ratios of nucleation rates computed from molecular simulations to classical nucleation theory predictions do not show a significant temperature trend.


2009 ◽  
Vol 9 (12) ◽  
pp. 5061-5068 ◽  
Author(s):  
Andrew G. F. Stapley ◽  
Chrismono Himawan ◽  
William MacNaughtan ◽  
Timothy J. Foster

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.


1987 ◽  
Author(s):  
RICHARD MILLER ◽  
DAVID NICHOLS
Keyword(s):  

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