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- Flory–Schulz_distribution abstract "The Flory–Schulz distribution is a mathematical function named after Paul Flory and G. V. Schulz that describes the relative ratios of polymers of different length after a polymerization process, based on their relative probabilities of occurrence. The distribution can take the form of:In this equation, k is a variable characterizing the chain length (e.g. number average molecular weight, degree of polymerization), and a is an empirically-determined constant.The form of this distribution implies is that shorter polymers are favored over longer ones. Apart from polymerization processes, this distribution is also relevant to the Fischer–Tropsch process that is conceptually related, in that lighter hydrocarbons are converted to heavier hydrocarbons that are desirable as a liquid fuel.".
- Flory–Schulz_distribution wikiPageID "37194611".
- Flory–Schulz_distribution wikiPageRevisionID "604827872".
- Flory–Schulz_distribution name "Flory–Schulz distribution".
- Flory–Schulz_distribution parameters "0".
- Flory–Schulz_distribution support "k ∈ { 1, 2, 3, ... }".
- Flory–Schulz_distribution type "mass".
- Flory–Schulz_distribution subject Category:Continuous_distributions.
- Flory–Schulz_distribution subject Category:Polymers.
- Flory–Schulz_distribution subject Category:Probability_distributions.
- Flory–Schulz_distribution comment "The Flory–Schulz distribution is a mathematical function named after Paul Flory and G. V. Schulz that describes the relative ratios of polymers of different length after a polymerization process, based on their relative probabilities of occurrence. The distribution can take the form of:In this equation, k is a variable characterizing the chain length (e.g.".
- Flory–Schulz_distribution label "Flory–Schulz distribution".
- Flory–Schulz_distribution sameAs Flory%E2%80%93Schulz_distribution.
- Flory–Schulz_distribution sameAs Q5461965.
- Flory–Schulz_distribution sameAs Q5461965.
- Flory–Schulz_distribution wasDerivedFrom Flory–Schulz_distribution?oldid=604827872.