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Machine Learning Applications in Chemical Engineering

Lookup NU author(s): Dr Yongliang YanORCiD

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Abstract

Chemical engineering is not often a field associated with artificial intelligence or machine learning, but there is a great deal of untapped potential ready to be harnessed. A chemical engineer is someone who can utilise chemistry and the underlying laws of engineering to design, control, and operate a process to produce something at scale; this ‘something’ could be anything from shampoo to hydrogen. A process plant will always be modelled before construction, it will have a control programme written for it, and when it operates several parameters will be measured to assess its performance; artificial intelligence can have an impact in all of these areas. In this chapter, we explore how the world of artificial intelligence is gradually being incorporated into chemical engineering and the potential benefits (and risks) that this brings with it.


Publication metadata

Author(s): Yan Y, Borhani TN, Clough PT

Editor(s): Cartwright, H

Publication type: Book Chapter

Publication status: Published

Book Title: Machine Learning in Chemistry: The Impact of Artificial Intelligence

Year: 2020

Pages: 340-371

Print publication date: 21/07/2020

Acceptance date: 15/07/2020

Publisher: Royal Society of Chemistry

Place Published: Cambridge

URL: https://doi.org/10.1039/9781839160233-00340

DOI: 10.1039/9781839160233-00340

Library holdings: Search Newcastle University Library for this item

ISBN: 9781788017893


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