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Application AI in Chemical Engineering

This special issue belongs to the section “Automation Control Systems“.

Special Issue Information

Dear Colleagues,

With the rapid development of industrial informatization, data-driven modeling and analysis techniques such as big data and artificial intelligence have been paid much attention and applied in research and practices of chemical processes, such as process modeling and process safety analysis. There are still many challenges that need to be studied and resolved to facilitate further applications of AI in industrial productions.

This Special Issue on “Application AI in Chemical Engineering” aims to gather outstanding research and provide comprehensive coverage of all aspects related to the applications of AI in chemical engineering, and it will bring together high-quality research articles on the different aspects of AI technology in chemical engineering, including current status and remaining challenges. Topics include, but not are limited to, the following:

  • Theoretical investigations and numerical experiments for data-driven process modeling;
  • AI-based fault detection and diagnosis methods and industrial applications;
  • Intelligent manufacturing for chemical processes.

Prof. Dr. Xu Ji
Dr. Yiyang Dai
Dr. Li Zhou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Process data association or causality analysis
  • Data-driven process modeling
  • Process safety maintenance
  • Fault detection and diagnosis
  • Intelligent manufacturing

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Published Papers

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Processes - ISSN 2227-9717