Initiation of ring-opening polymerization of lactide: The effect of metal alkoxide catalyst

2012 ◽  
Vol 995 ◽  
pp. 8-16 ◽  
Author(s):  
Diana Cheshmedzhieva ◽  
Iva Angelova ◽  
Sonia Ilieva ◽  
George S. Georgiev ◽  
Boris Galabov
2015 ◽  
Vol 44 (22) ◽  
pp. 10352-10367 ◽  
Author(s):  
Sagnik K. Roymuhury ◽  
Debashis Chakraborty ◽  
Venkatachalam Ramkumar

A series of group 4 complexes containing imine based bis-bidentate ligands were synthesized and used as catalysts for various polymerizations.


2012 ◽  
Vol 506 ◽  
pp. 142-145 ◽  
Author(s):  
W. Meelua ◽  
V. Bua-Own ◽  
Robert Molloy ◽  
Winita Punyodom

Four metal tert-butoxides, namely: aluminum (III) tert-butoxide, Al (Ot-C4H9)3, tin (II) tert-butoxide, Sn (Ot-C4H9)2, titanium (IV) tert-butoxide, Ti (Ot-C4H9)4, and lithium tert-butoxide, Li (Ot-C4H9), were used as initiators in the bulk ring-opening polymerization (ROP) of ε-caprolactone (CL). The polymerizations were carried out at 120 °C for 72 hrs. It was found that the Al (Ot-C4H9)3 only partially dissolved in the CL monomer and gave a low % conversion. The Li (Ot-C4H9) initiator did not dissolve and gave no polymerization. In contrast, the Sn (Ot-C4H9)2 initiator dissolved completely, albeit very slowly, and gave a high % conversion. The Ti (Ot-C4H9)4 initiator was by far the easiest and quickest to dissolve and also gave a high % conversion. Consequently, Ti (Ot-C4H9)4-initiated polymerization was studied further by dilatometry at 120°C. From the kinetic results, a first-order rate constant, kp, of 0.120 l mol-1 min-1 was obtained.


2018 ◽  
Vol 9 (40) ◽  
pp. 5014-5023 ◽  
Author(s):  
Yanzhao Nie ◽  
Pei Wang ◽  
Haifeng Du ◽  
Wei Meng ◽  
Jing Yang

Amines and Zn(C6F5)2 for polymerization initiation and functionality transfer from Zn(C6F5)2 to a metal-alkoxide species for promoting chain propagation to achieve well controlled ring-opening polymerization of O-carboxyanhydrides.


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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