The Flory–Schulz distribution is a discrete probability distribution named after Paul Flory and Günter Victor Schulz that describes the relative ratios of polymers of different length that occur in an ideal step-growth polymerization process. The probability mass function (pmf) for the mass fraction of chains of length is:

Flory–Schulz distribution
Probability mass function
Parameters 0 < a < 1 (real)
Support k ∈ { 1, 2, 3, ... }
PMF
CDF
Mean
Median
Mode
Variance
Skewness
Excess kurtosis
MGF
CF
PGF

In this equation, k is the number of monomers in the chain,[1] and 0<a<1 is an empirically determined constant related to the fraction of unreacted monomer remaining.[2]

The form of this distribution implies is that shorter polymers are favored over longer ones -the chain length is geometrically distributed. Apart from polymerization processes, this distribution is also relevant to the Fischer–Tropsch process that is conceptually related, where it's known as Anderson-Schulz-Flory (ASF) distribution, in that lighter hydrocarbons are converted to heavier hydrocarbons that are desirable as a liquid fuel.

The pmf of this distribution is a solution of the following equation:

References

edit
  1. ^ Flory, Paul J. (October 1936). "Molecular Size Distribution in Linear Condensation Polymers". Journal of the American Chemical Society. 58 (10): 1877–1885. doi:10.1021/ja01301a016. ISSN 0002-7863.
  2. ^ IUPAC, Compendium of Chemical Terminology, 2nd ed. (the "Gold Book") (1997). Online corrected version: (2006–) "most probable distribution". doi:10.1351/goldbook.M04035