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Sequence modeling of RAFT polymerizations with the method of moments.

机译:用矩量法对RAFT聚合进行序列建模。

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Attempts to model the sequence structure of copolymers consisted of probabilistic functions that were incomplete and inaccurate. A novel technique to track sequence parameters is developed that determines not only copolymer composition, but sequence distribution as well. RAFT polymerizations are simulated with two independent and concurrent models to track MWD, conversion, copolymer composition, and sequence characteristics. Batch polymerizations are simulated with varying reactor conditions as a proof-of-concept to illustrate the power of the sequence model to track the composition of the polymer. Series of CSTR and PFR reactors with varying reactor conditions are then presented as applications to iteratively fine-tune copolymers with predetermined sequence and compositional structure.
机译:试图对共聚物的序列结构进行建模的尝试是由不完整和不准确的概率函数组成的。开发了一种跟踪序列参数的新技术,该技术不仅可以确定共聚物组成,还可以确定序列分布。 RAFT聚合使用两个独立的并发模型进行模拟,以跟踪MWD,转化率,共聚物组成和序列特征。使用概念变化来模拟分批聚合反应器条件,以说明序列模型跟踪聚合物组成的能力。然后介绍了具有不同反应器条件的一系列CSTR和PFR反应器,作为对具有预定顺序和组成结构的迭代微调共聚物的应用。

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