Dispersity control in atom transfer radical polymerizations through addition of phenylhydrazine

2018 ◽  
Vol 9 (33) ◽  
pp. 4332-4342 ◽  
Author(s):  
Vivek Yadav ◽  
Nairah Hashmi ◽  
Wenyue Ding ◽  
Tzu-Han Li ◽  
Mahesh K. Mahanthappa ◽  
...  
Keyword(s):  
Molecular Weight ◽  
Atom Transfer ◽  
Molecular Weight Distributions ◽  
Weight Distributions ◽  
Radical Polymerizations ◽  
Systematic Control

Phenylhydrazine is an effective modifier for conventional ATRP syntheses, providing systematic control over the dispersity of polymers with unimodal molecular weight distributions.

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.

Controlling Molecular Weight Distributions Through the Mixing of Low Dispersity Polymer Samples: A Predictive Framework

2019 ◽  
Author(s):  
Maarten Rubens ◽  
Tanja Junkers
Keyword(s):  
Molecular Weight ◽  
Physical Properties ◽  
Molecular Weight Distribution ◽  
Weight Distribution ◽  
Molecular Weight Distributions ◽  
Weight Distributions ◽  
Radical Polymerizations ◽  
Systematic Framework

<div>The physical properties of polymer samples are dependent on the overall shape and breadth of the molecular weight distribution (MWD). A small number of methods are available to tune the shape and characteristics of MWDs based on influencing controlled radical polymerizations and on mixing of individual distributions. However, no systematic framework exists to date to predict the characteristics and shapes of artificial MWDs prior the experiments. In this work we present such framework based on interpolation of individual distributions.</div>

Controlling Molecular Weight Distributions Through the Mixing of Low Dispersity Polymer Samples: A Predictive Framework

2019 ◽  
Author(s):  
Maarten Rubens ◽  
Tanja Junkers
Keyword(s):  
Molecular Weight ◽  
Physical Properties ◽  
Molecular Weight Distribution ◽  
Weight Distribution ◽  
Molecular Weight Distributions ◽  
Weight Distributions ◽  
Radical Polymerizations ◽  
Systematic Framework

<div>The physical properties of polymer samples are dependent on the overall shape and breadth of the molecular weight distribution (MWD). A small number of methods are available to tune the shape and characteristics of MWDs based on influencing controlled radical polymerizations and on mixing of individual distributions. However, no systematic framework exists to date to predict the characteristics and shapes of artificial MWDs prior the experiments. In this work we present such framework based on interpolation of individual distributions.</div>

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