Description Usage Arguments Value Author(s) References
Probabilistic nucleation model parameter estimation from microfluidics data.
The function takes as input a 2-column data file (see Arguments) that gives the time (in seconds) and the fraction f0 of empty droplets.
Nucleation model parameters m, k0 and k are estimated by bootstrapping, where nboot is the number of boostrap samples.
Parameter estimation is performed by simulated annealing or Levenberg-Marquardt, using the
GenSA and minpack.lm packages respectively.
It is recommended that the user uses the "SA" option initially with nboot=1, and
then uses the output values of m, k0 and k as initialisation values for the "LM" estimation
with nboot = 1000 typically.
The function outputs the results in filename_in_nboot.csv.
1 |
nboot |
Number of boostrap samples, typically 500 to 2000.Default=1000 |
npoints_interp |
Number of points for continuous model display inside the experimental range. Default=100. |
origin |
= c(0, 1) if data must pass through origin (time=0, f0=1) ; Optional argument |
m |
Initialisation of nucleation parameter m |
k0 |
Initialisation of nucleation parameter k0 (s-1) |
k |
Initialisation of nucleation parameter k (s-1) |
filename_in |
= name of entry data file, .csv extension.
|
method |
= "SA" or "LM". Default="SA" |
None
Florent Bourgeois, florent.bourgeois@ensiacet.fr
Laboratoire de Genie Chimique, Toulouse, FRANCE (http://www.lgc.cnrs.fr)
Bourgeois, F. Teychene, S. and Biscans, B., Applicability of probabilistic nucleation modelling for analysis of microfluidics data, KONA Powder and Particle Journal, 35, 2018.
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