Artificial intelligence in process systems engineering

Tao Shi, Ao Yang, Yuanzhi Jin, Jingzheng Ren, Weifeng Shen, Lichun Dong, Yi Man

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

Accompanied by the great advances in computer hardware and the widespread commercial application in big data, the artificial intelligence (AI) represented by the machine learning technology has gained popular applications in the past two decades. On the other side, some challenges such as multiscale modeling, simulation, optimization, control, and supply chain management have been encountered in the research of process system engineering (PSE). Advanced AI technology like deep learning, reinforcement learning, etc. provides a promising way to solve the above-mentioned problems in the PSE from a different perspective. Therefore, the background about PSE and typical branching of AI are introduced to give us an overall grasp about both disciplines. In addition, some work related to the AI applications in PSE have been reviewed hopefully to provide some inspirations in the relative fields.
Original languageEnglish
Title of host publicationApplications of Artificial Intelligence in Process Systems Engineering
PublisherElsevier
Chapter1
Pages1-10
Number of pages10
ISBN (Electronic)9780128217436
ISBN (Print)9780128210925
DOIs
Publication statusPublished - 5 Jun 2021

Keywords

  • Artificial intelligence
  • Process system engineering
  • Machine learning

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