Quantitatively monitoring polymer chain growth and topology formation based on monodisperse polymers

In this work, a novel technique for monitoring polymer chain growth and topology formation was demonstrated by precision synthesis of monodisperse polymers, which opened a novel avenue for obtaining real-time polymer structure information.

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Logic-Controlled Radical Polymerization with Heat and Light: Multiple-Stimuli Switching of Polymer Chain Growth via a Recyclable, Thermally Responsive Gel Photoredox Catalyst

Journal of the American Chemical Society ◽

10.1021/jacs.6b10345 ◽

2017 ◽

Vol 139 (6) ◽

pp. 2257-2266 ◽

Cited By ~ 64

Author(s):

Mao Chen ◽

Shihong Deng ◽

Yuwei Gu ◽

Jun Lin ◽

Michelle J. MacLeod ◽

...

Keyword(s):

Radical Polymerization ◽

Polymer Chain ◽

Controlled Radical Polymerization ◽

Chain Growth ◽

Thermally Responsive ◽

Polymer Chain Growth

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Self-organization of polyaniline during oxidative polymerization: formation of granular structure

Chemical Papers ◽

10.2478/s11696-012-0284-6 ◽

2013 ◽

Vol 67 (8) ◽

Cited By ~ 20

Author(s):

Mikhail Shishov ◽

Vyacheslav Moshnikov ◽

Irina Sapurina

Keyword(s):

Polymer Chain ◽

Oxidative Polymerization ◽

Cation Radical ◽

Spherical Particles ◽

Self Organization ◽

Chain Growth ◽

Pani Film ◽

Sphere Diameter ◽

Diffusion Limited Aggregation ◽

Polymer Chain Growth

AbstractThe paper is focused on oxidative polymerization of aniline proceeding in an acid medium with a strong oxidant; formation of polyaniline (PANI) granular structures in different steps of the synthesis was studied. The relationship between the processes of self-organization of the growing polymer into supramolecular structures and the steps of molecular synthesis has been revealed. It was shown that during the induction period (the initial synthesis step), insoluble non-conducting products are formed. They are characterized by the absorption band at 430 nm corresponding to the wavelength of the phenazinium cation radical peak. In the second step, the polymer chain growth, conducting PANI granules with the diameter of 50 nm were obtained. These granules consist of spherical particles with the diameter as small as several nanometers. Then, the granule dimensions increased to 200 nm due to the growth of the spheres; the sphere diameter reached 20 nm. The number of spheres in a granule remained constant. Both precipitate and PANI film consist of common structural elements, polymer spheres, organized into granules and larger structures. Suppression of the polymer chain growth leads to the formation of non-conducting aniline oligomers which are self-organized into large particles with fractal structure. To describe the self-organization processes of a growing polymer chain, the diffusion-limited aggregation mechanism was used.

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Simultaneous polymer chain growth with the coexistence of bulk and surface initiators: insight from computer simulations

Physical Chemistry Chemical Physics ◽

10.1039/c8cp03878c ◽

2018 ◽

Vol 20 (35) ◽

pp. 22576-22584

Author(s):

Jing Xu ◽

Yao-Hong Xue ◽

Feng-Chao Cui ◽

Hong Liu ◽

Zhong-Yuan Lu

Keyword(s):

Computer Simulations ◽

Polymer Chain ◽

Brownian Dynamics ◽

Growth Process ◽

Chain Growth ◽

Dynamics Simulations ◽

Brownian Dynamics Simulations ◽

Polymer Chain Growth

By Brownian dynamics simulations we study the simultaneous polymer chain growth process with the coexistence of bulk and surface initiators.

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Non-Markovian models of the growth of a polymer chain

Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rspa.2014.0899 ◽

2015 ◽

Vol 471 (2180) ◽

pp. 20140899 ◽

Cited By ~ 2

Author(s):

D. Sokolovski ◽

S. Rusconi ◽

E. Akhmatskaya ◽

J. M. Asua

Keyword(s):

Polymer Chain ◽

Time Delays ◽

Stochastic Modelling ◽

Probability Density Functions ◽

Controlled Radical Polymerization ◽

Chain Growth ◽

Density Functions ◽

Solvable Models ◽

Exactly Solvable ◽

Polymer Chain Growth

Using simple exactly solvable models, we show that event-dependent time delays may lead to significant non-Poisson effects in the statistics of polymer chain growth. The results are confirmed by stochastic simulation of various growth scenarios. Our interest in mathematical aspects of non-Markovian growth arises from recent successful application of delayed probability density functions in stochastic modelling of controlled radical polymerization.

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