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Data-Mining for Processes in Chemistry, Materials, and Engineering

Authors
  • hao, li
  • zhang, zhien
  • zhao, zhe-ze
Publication Date
Mar 11, 2019
Source
MDPI
Keywords
Language
English
License
Green
External links

Abstract

With the rapid development of machine learning techniques, data-mining for processes in chemistry, materials, and engineering has been widely reported in recent years. In this discussion, we summarize some typical applications for process optimization, design, and evaluation of chemistry, materials, and engineering. Although the research and application targets are various, many important common points still exist in their data-mining. We then propose a generalized strategy based on the philosophy of data-mining, which should be applicable for the design and optimization targets for processes in various fields with both scientific and industrial purposes.

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