Machine Learning assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multi-criteria optimization analyses | ||
---|---|---|
|
||
Juin Yau Lim+, Adrian Chun Minh Loy+, Hatem Alhazmi, Bridgid Chin Lai Fui, Kin Wai Cheah, Martin J. Taylor, Georgios Kyriakou and ChangKyoo Yoo*, Machine Learning assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multi-criteria optimization analyses, International Journal of Energy Research (ISSN: 1099-114X, SCIE, JCR TOP 3%:NUCLEAR SCIENCE & TECHNOLOGY), Elsevier, 46(5), pp.6277-6291, (2021.12) (Ack: NRF- 2021R1A2C2007838 & Australian Government Research Training Program). |
||
이전글 | Blockchain as a frontier in biotechnology and bioenergy application | |
다음글 | An adaptive safety-risk mitigation plan at process-level for sustainable production in chemical industries: An integrated fuzzy-HAZOP-best-worst approach |