Tuning dispersity of linear polymers and polymeric brushes grown from nanoparticles by atom transfer radical polymerization

2021 ◽  
Author(s):  
Rongguan Yin ◽  
Zongyu Wang ◽  
Michael R. Bockstaller ◽  
Krzysztof Matyjaszewski
Keyword(s):  
Molecular Weight ◽  
Atom Transfer Radical Polymerization ◽  
Radical Polymerization ◽  
Molecular Weight Distribution ◽  
Weight Distribution ◽  
Polymeric Materials ◽  
Structural Behavior ◽  
Atom Transfer ◽  
Linear Polymers ◽  
Considerable Influence

Molecular weight distribution imposes considerable influence on the properties of polymers, making it an important parameter, impacting morphology and structural behavior of polymeric materials.

Reverse Atom Transfer Radical Polymerization of N-Vinylpyrrolidone in Bulk Catalyzed by AIBN)/FeCl3/ PPh3

2013 ◽  
Vol 295-298 ◽  
pp. 3-7
Author(s):  
Guo Bin Yi ◽  
Ying Wu ◽  
Ping Ke Ai
Keyword(s):  
Molecular Weight ◽  
Atom Transfer Radical Polymerization ◽  
Radical Polymerization ◽  
Molecular Weight Distribution ◽  
Weight Distribution ◽  
Gel Permeation Chromatography ◽  
Monomer Conversion ◽  
13C Nmr Spectroscopy ◽  
Atom Transfer ◽  
First Order Kinetics

The reverse atom transfer radical polymerization (RATRP) of N-vinylpyrrolidone (NVP) using azobisisobutyronitrile (AIBN)/FeCl3/triphenylphosphine(PPh3) as the initiating system, was successfully carried out in bulk at 80°C. Plots of In ([M]0/[M]) vs time and molecular weight evolution vs monomer conversion presented a linear dependence and the polymerization was proved to accord with the first-order kinetics. After 10 hours’ reaction, the monomer conversion was up to 84%. Gel permeation chromatography (GPC) was used in testing the molecular weight of polymer and molecular weight distribution, the results showed that polymer molecular weight distribution was as low as 1.018 (Mn=3288 g/mol). Moreover, the resultant polymer was characterized by 1H-NMR, 13C-NMR spectroscopy and Pyrolysis GC-MS, and the results showed that the polymerization mechanism is consistent with RATRP.

scholarly journals Tuning the molecular weight distribution from atom transfer radical polymerization using deep reinforcement learning

2018 ◽  
Vol 3 (3) ◽  
pp. 496-508 ◽  
Author(s):  
Haichen Li ◽  
Christopher R. Collins ◽  
Thomas G. Ribelli ◽  
Krzysztof Matyjaszewski ◽  
Geoffrey J. Gordon ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Reinforcement Learning ◽  
Atom Transfer Radical Polymerization ◽  
Radical Polymerization ◽  
Weight Distribution ◽  
In Silico ◽  
Atom Transfer ◽  
Polymer Molecular Weight ◽  
Molecular Weight Distributions ◽  
Weight Distributions

Combination of deep reinforcement learning and atom transfer radical polymerization gives precise in silico control on polymer molecular weight distributions.

Visible-light-induced controlled radical polymerization of methacrylates mediated by a pillared-layer metal–organic framework

2016 ◽  
Vol 18 (6) ◽  
pp. 1475-1481 ◽  
Author(s):  
Yue Liu ◽  
Dashu Chen ◽  
Xingyu Li ◽  
Ziyang Yu ◽  
Qiansu Xia ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Visible Light ◽  
Atom Transfer Radical Polymerization ◽  
Radical Polymerization ◽  
Molecular Weight Distribution ◽  
Weight Distribution ◽  
Metal Organic Framework ◽  
Controlled Radical Polymerization ◽  
Narrow Molecular Weight Distribution ◽  
Metal Organic

A visible light responsive MOF material has been constructed by the pillared-layer approach to conduct atom transfer radical polymerization. The as-prepared polymers show narrow molecular weight distribution and high retention of chain-end activity.

Rheological measurement of molecular weight distribution of polymers

e-Polymers ◽  
2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Maryam Khak ◽  
Ahmad S. A. Ramazani
Keyword(s):  
Molecular Weight ◽  
Molecular Weight Distribution ◽  
Weight Distribution ◽  
Loss Modulus ◽  
Method Comparison ◽  
Polymeric Materials ◽  
Linear Polymers ◽  
Rheological Data ◽  
Log Normal ◽  
The Relationship

Abstract This paper has described a method to obtain the molecular weight distribution (MWD) of polymeric materials from their rheological data. The method has been developed for linear polymers with log normal molecular weight distribution. The rheological data required to obtain the molecular weight distribution are the shear storage modulus,G' (ω) , and shear loss modulus,G" (ω) , extending from the terminal zone to the plateau region. For determining the molecular weight average, the method uses the relationship between stress moduli and relaxation spectrums, with the equation that connects dynamic rheological data with molecular weight distribution, and so it is not necessary to achieve the relaxation spectrums and the molecular weight distribution is obtained directly from dynamic shear experiments and it is one of the main advantageous of the proposed method. Comparison of calculated and experimental data obtained by GPC for five polypropylene samples produced in different conditions show that model can correctly predict molecular weight distribution for these types of polymers.

Sign in / Sign up

Export Citation Format

Share Document