Multiobjective Bayesian Optimization Framework for the Synthesis of Methanol from Syngas Using Interpretable Gaussian Process Models
Author:
Affiliation:
1. Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi110016, India
2. Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, Hauz Khas, New Delhi110016, India
Funder
Science and Engineering Research Board
Board of Research in Nuclear Sciences
Department of Science and Technology, Ministry of Science and Technology, India
Ministry of Human Resource Development
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c04919
Reference77 articles.
1. Investigating the effect of metal oxide additives on the properties of Cu/ZnO/Al2O3 catalysts in methanol synthesis from syngas using factorial experimental design
2. Methanol Synthesis: Optimal Solution for a Better Efficiency of the Process
3. Biogas to Syngas through the Combined Steam/Dry Reforming Process: An Environmental Impact Assessment
4. Dry reforming of coke oven gases over activated carbon to produce syngas for methanol synthesis
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