Ring-Opening Polymerization of Racemic β-Butyrolactone Promoted by Salan- and Salen-Type Yttrium Amido Complexes

2013 ◽  
Vol 214 (17) ◽  
pp. 1965-1972 ◽  
Author(s):  
Daniela Pappalardo ◽  
Massimo Bruno ◽  
Marina Lamberti ◽  
Claudio Pellecchia
2013 ◽  
Vol 379 ◽  
pp. 303-308 ◽  
Author(s):  
Daniela Pappalardo ◽  
Massimo Bruno ◽  
Marina Lamberti ◽  
Mina Mazzeo ◽  
Claudio Pellecchia

2013 ◽  
Vol 42 (8) ◽  
pp. 2870-2878 ◽  
Author(s):  
Song Sun ◽  
Kun Nie ◽  
Yufang Tan ◽  
Bei Zhao ◽  
Yong Zhang ◽  
...  

2020 ◽  
Author(s):  
Nathaniel Park ◽  
Dmitry Yu. Zubarev ◽  
James L. Hedrick ◽  
Vivien Kiyek ◽  
Christiaan Corbet ◽  
...  

The convergence of artificial intelligence and machine learning with material science holds significant promise to rapidly accelerate development timelines of new high-performance polymeric materials. Within this context, we report an inverse design strategy for polycarbonate and polyester discovery based on a recommendation system that proposes polymerization experiments that are likely to produce materials with targeted properties. Following recommendations of the system driven by the historical ring-opening polymerization results, we carried out experiments targeting specific ranges of monomer conversion and dispersity of the polymers obtained from cyclic lactones and carbonates. The results of the experiments were in close agreement with the recommendation targets with few false negatives or positives obtained for each class.<br>


2019 ◽  
Vol 52 (23) ◽  
pp. 9232-9237 ◽  
Author(s):  
Rukshika S. Hewawasam ◽  
U. L. D. Inush Kalana ◽  
Nayanthara U. Dharmaratne ◽  
Thomas J. Wright ◽  
Timothy J. Bannin ◽  
...  

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