2011
DOI: 10.1002/mats.201100031
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Predicting the Limit of Control in the ATRP Process: Results from Kinetic Simulations

Abstract: Kinetic simulations are reported, where the ATRP equilibrium constant KATRP is varied and the rates and degree of control in different ATRP systems are evaluated. The apparent rate constant kapp increases with increasing KATRP, but a maximum is reached. The limit of control is passed before the maximum, i.e. when KATRP is increased further, apparent first‐order kinetics and well‐controlled molecular weights will no longer be obtained. The equilibrium constant at which the limit of control is reached varies lin… Show more

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Cited by 11 publications
(8 citation statements)
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References 50 publications
(65 reference statements)
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“…It was as if the substrate 6 and its product 6a were incompatible with the catalytic system. ATRP has already come across situations of this type 14d,30. When this occurs, less active systems have to be used.…”
Section: Resultsmentioning
confidence: 99%
“…It was as if the substrate 6 and its product 6a were incompatible with the catalytic system. ATRP has already come across situations of this type 14d,30. When this occurs, less active systems have to be used.…”
Section: Resultsmentioning
confidence: 99%
“…where k p is the propagation rate constant, and C M and C RX are monomer and initiator concentrations. Therefore, information on kact values is important for choosing the optimal experimental conditions [9], e.g. for selecting the best catalyst/initiator couple in a specific polymerization system.…”
Section: Introductionmentioning
confidence: 99%
“…The polymer MWD can be better understood and controlled by using mathematical models that describe its evolution during the synthesis reaction. Previous mathematical modeling of ATRP has been done by a number of research groups, but most of that research focused on previous versions of ATRP, especially early works trying to better understand the kinetics and mechanism of these processes. In contrast, a few have been done on the modeling of ICAR and ARGET systems, which have greater industrial potential.…”
Section: Introductionmentioning
confidence: 99%