The Application of Machine Learning in Chemical Engineering: A Literature Review
Publisher
Atlantis Press SARL
Reference10 articles.
1. Schweidtmann, Schweidtmann, Artur M., et al. “Machine Learning in Chemical Engineering: A Perspective.” Chemie Ingenieur Technik, vol. 93, no. 12, 2021, pp. 2029–2039. 2. Dobbelaere, Maarten R., et al. “Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats.” Engineering, vol. 7, no. 9, 2021, pp. 1201–1211. 3. McBride, Kevin, and Kai Sundmacher. “Overview of Surrogate Modeling in Chemical Process Engineering.” Chemie Ingenieur Technik, vol. 91, no. 3, 2019, pp. 228–239. 4. Venkatasubramanian, Venkat. “The Promise of Artificial Intelligence in Chemical Engineering: Is It Here, Finally?” AIChE Journal, vol. 65, no. 2, 2018, pp. 466–478. 5. Lee, Jay H., et al. “Machine Learning: Overview of the Recent Progresses and Implications for the Process Systems Engineering Field.” Computers & Chemical Engineering, vol. 114, 2018, pp. 111–121.
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