Composition
drift in batch polymerizations is a well-known phenomenon
and can lead to composition gradients in polymers synthesized using
controlled polymerization methodologies. With known reactivity ratios
of monomers, the drift, and thus resultant gradient copolymer, can
be designed by adjusting reagent ratios and targeted conversions.
Although such prediction is straightforward, it is seldom done, likely
due to the perceived difficulty and unfamiliarity for nonspecialists.
We seek to remedy this by providing the communities using copolymers with
an easy-to-use program called Compositional Drift which is based
on the Mayo–Lewis model and the penultimate model of monomer
addition, using Monte Carlo methodology. This tool can also be applied
to predict composition in nondrifting polymerizations. Herein
we supply this tool to the community, showcasing two recent examples
of use to guide experimental design and understanding of heteropolymers
(RHP).