期刊
CURRENT OPINION IN CHEMICAL ENGINEERING
卷 9, 期 -, 页码 1-7出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.coche.2015.07.001
关键词
-
资金
- EPSRC [EP/L003309/1]
- Engineering and Physical Sciences Research Council [EP/L003309/1] Funding Source: researchfish
This paper presents the first overview of recent developments in techniques and methods that enable closed-loop optimization, also sometimes called 'self optimization', as well as discovery in different areas of molecular sciences. The closed-loop experimental platforms offer tremendous new opportunities by significantly increasing productivity, as well as enabling completely new types of experiments to be performed. Such experiments involve three main enabling technology areas: automated experimental systems, analytical instruments connected to automated chemoinformatics software and optimization or decision-making algorithms. We review the most exciting developments concerning robotic experiments, 3D printed lab-ware, experimental systems with multiple analytical instruments and advanced optimization algorithms based on machine learning approaches. A range of different chemical problems is described, which show the breadth of potential applications of this emerging experimental approach.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据