Controlling Polymer Molecular Weight Distribution through a Latent Mediator Strategy with Temporal Programming

被引:24
作者
Chen, Miao [1 ]
Li, Jiajia [1 ]
Ma, Kaiqi [2 ]
Jin, Guoqin [2 ]
Pan, Xiangqiang [1 ]
Zhang, Zhengbiao [1 ]
Zhu, Jian [1 ]
机构
[1] Soochow Univ, State & Local Joint Engn Lab Novel Funct Polymer, Jiangsu Key Lab Adv Funct Polymer Design & Applic, Dept Polymer Sci & Engn,Coll Chem Chem Engn & Mat, Suzhou 215123, Peoples R China
[2] Soochow Univ, Sch Mech & Elect Engn, Suzhou 215006, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
latent mediators; living cationic polymerization; molecular weight distribution; temporal programming; CATIONIC-POLYMERIZATION; RADICAL POLYMERIZATION; DISPERSITY; RAFT; POLYDISPERSITY; MODULATION; FUTURE;
D O I
10.1002/anie.202107106
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Polymer molecular weight distribution (MWD) is a key parameter of polymers. Here we present a robust method for controlling polymer MWD in controlled cationic polymerizations. A latent mediator strategy was designed and combined with temporal programming to regenerate mediators at different times during polymerization. Both the breadths and shapes of MWD curves were tuned easily by adjusting an external light source. Bimodal, trimodal, and tetramodal distributions were obtained, and the breadths could be varied from 1.06 to 2.09. Polymers with different MWDs prepared by this method had good chain end fidelity, which was demonstrated with successful chain-extension experiments. In addition, the introduction of temporal programming with a computer-controlled single chip for the light source opened an avenue for the use of artificial intelligence in polymer synthesis.
引用
收藏
页码:19705 / 19709
页数:5
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