High Efficiency Organic Lewis Pair Catalyst for Ring-Opening Polymerization of Epoxides with Chemoselectivity

2018 ◽  
Vol 51 (20) ◽  
pp. 8286-8297 ◽  
Author(s):  
Ye Chen ◽  
Jizhou Shen ◽  
Shan Liu ◽  
Junpeng Zhao ◽  
Yucai Wang ◽  
...  
2019 ◽  
Vol 7 (5) ◽  
pp. 1940-1948 ◽  
Author(s):  
Xi He ◽  
Ping Chen ◽  
Ji Zhang ◽  
Tian-Ying Luo ◽  
Hai-Jiao Wang ◽  
...  

The transformation of cationic polymers derived from ring-opening polymerization to carbon dots was proved as a promising strategy for developing gene vectors with high efficiency and cell-imaging ability.


2014 ◽  
Vol 56 (5) ◽  
pp. 632-638 ◽  
Author(s):  
Jingsong Shi ◽  
Penghui Chen ◽  
Kemin Wang ◽  
Jian Lu ◽  
Jun Nie

2021 ◽  
Author(s):  
Ge-Ge Gu ◽  
Li-Yang Wang ◽  
Rong Zhang ◽  
Tian-Jun Yue ◽  
Bai-Hao Ren ◽  
...  

The development of “metal-free” catalyst systems with high efficiency for the ring-opening polymerization (ROP) of epoxides, providing polyethers with controlled molecular weights and dispersity as well as desired main-chain sequence...


2019 ◽  
Vol 115 ◽  
pp. 399-408 ◽  
Author(s):  
Chi-Chi Chang ◽  
Yung-Chi Chang ◽  
Wei-Yi Lu ◽  
Yi-Chun Lai ◽  
Kuo-Hui Wu ◽  
...  

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 ◽  
...  

Author(s):  
Zhen-Yu Wang ◽  
Guang-Qiang Xu ◽  
Li Zhou ◽  
Cheng-Dong Lv ◽  
Ru-Lin Yang ◽  
...  

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