Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

Chemical engineers rely on models for design, research, and daily decision-making, often with potentially large financial and safety implications. Previous efforts a few decades ago to combine artificial intelligence and chemical engineering for modeling were unable to fulfill the expectations. In t...

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Bibliographic Details
Main Authors: Maarten R. Dobbelaere, Pieter P. Plehiers, Ruben Van de Vijver, Christian V. Stevens, Kevin M. Van Geem
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Engineering
Subjects:
Artificial intelligence
Machine learning
Reaction engineering
Process engineering
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809921002010

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