Ring-opening polymerization of ω-6-hexadecenlactone by a salicylaldiminato aluminum complex: a route to semicrystalline and functional poly(ester)s

2015 ◽  
Vol 6 (10) ◽  
pp. 1727-1740 ◽  
Author(s):  
Tiziana Fuoco ◽  
Angelo Meduri ◽  
Marina Lamberti ◽  
Vincenzo Venditto ◽  
Claudio Pellecchia ◽  
...  

The homo and co-polymerization of a large ring size lactone afforded unsaturated poly(esters), further modified to functional thermoplastic materials.

2014 ◽  
Vol 915-916 ◽  
pp. 713-716
Author(s):  
Qing Zhang ◽  
Jing Tian ◽  
Zhi Qi Cao ◽  
Ru Xia Xu ◽  
Zhen Zhen Sun ◽  
...  

In this investigation, Schiff bases aluminum complex was synthesized and used as the initiator in the polymerization of D,L-lactide. The aluminum complex was characterized by infrared spectroscopy (IR), and nuclear magnetic resonance spectroscopy (NMR). The influences of different factors, including reaction time, reaction temperature, and the ratio of D, L-lactide/Al3+ on the synthesis of polylactide were described. The results showed that Schiff bases aluminum complex could be successfully applied in the ring opening polymerization. The optimum condition of the ring opening polymerization of D,L-lactide, which included D,L-lactide/Al3+ (mol/mol) ratio of 250, reaction temperature of 120 °C, and reaction time of 16 hours.


ChemCatChem ◽  
2019 ◽  
Vol 11 (16) ◽  
pp. 4210-4218 ◽  
Author(s):  
Amy Lai ◽  
Zachary C. Hern ◽  
Paula L. Diaconescu

2011 ◽  
Vol 67 (9) ◽  
pp. 1751-1760 ◽  
Author(s):  
Soňa Hermanová ◽  
Monica M. Moya Cabrera ◽  
Zdeňka Vyroubalová ◽  
Lucy Vojtová

1996 ◽  
Vol 29 (20) ◽  
pp. 6461-6465 ◽  
Author(s):  
Giorgio Montaudo ◽  
Maurizio S. Montaudo ◽  
Concetto Puglisi ◽  
Filippo Samperi ◽  
N. Spassky ◽  
...  

2005 ◽  
Vol 24 (25) ◽  
pp. 6279-6282 ◽  
Author(s):  
Abderramane Amgoune ◽  
Laurent Lavanant ◽  
Christophe M. Thomas ◽  
Yun Chi ◽  
Richard Welter ◽  
...  

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>


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