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首页> 外文期刊>Angewandte Chemie >Precise Polymer Synthesis by Autonomous Self-Optimizing Flow Reactors
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Precise Polymer Synthesis by Autonomous Self-Optimizing Flow Reactors

机译:通过自治自优化流动反应器精确的聚合物合成

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摘要

A novel continuous flow system for automated high-throughput screening, autonomous optimization, and enhanced process control of polymerizations was developed. The computer-controlled platform comprises a flow reactor coupled to size exclusion chromatography (SEC). Molecular weight distributions are measured online and used by a machine-learning algorithm to self-optimize reactions towards a programmed molecular weight by dynamically varying reaction parameters (i.e. residence time, monomer concentration, and control agent/initiator concentration). The autonomous platform allows targeting of molecular weights in a reproducible manner with unprecedented accuracy (2.5 % deviation from pre-selected goal) for both thermal and light-induced reactions. For the first time, polymers with predefined molecular weights can be custom made under optimal reaction conditions in an automated, high-throughput flow synthesis approach with outstanding reproducibility.
机译:开发了一种用于自动化高通量筛选,自主优化和增强的聚合过程控制的新型连续流动系统。 计算机控制平台包括耦合到尺寸排阻色谱(SEC)的流量反应器。 分子量分布在网上测量并由机器学习算法使用,通过动态改变反应参数(即停留时间,单体浓度和对照剂/引发剂/引发剂/引发剂/引发剂浓度)来自我优化对编程分子量的反应。 自主平台允许以可重复的方式靶向分子量,以具有前所未有的精度(与预选目标偏差)进行热和光诱导反应。 首次,具有预定分子量的聚合物可以在自动化的高通量流动合成方法中在最佳反应条件下定制,具有出色的再现性。

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