Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses
(2021)
Journal Article
Lim, J. Y., Loy, A. C. M., Alhazmi, H., Fui, B. C. L., Cheah, K. W., Taylor, M. J., …Yoo, C. K. (in press). Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses. International journal of energy research, https://doi.org/10.1002/er.7565
The catalytic dry reforming (DR) process is a clean approach to transform CO2 into H2 and CO-rich synthetic gas that can be used for various energy applications such as Fischer–Tropsch fuels production. A novel framework is proposed to determine the... Read More about Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses.