Optimizing membrane reactor structures for enhanced hydrogen yield in  CH4 tri-reforming: Insights from sensitivity analysis and machine  learning approaches

dc.contributor.author	Nasrabadi, Mohammadali
dc.contributor.author	Anggono, Agus Dwi
dc.contributor.author	Lidia, Sergeevna Budovich
dc.contributor.author	Abdullaev, Sherzod
dc.contributor.author	Opakhai, Serikzhan
dc.date.accessioned	2025-01-23T07:37:51Z
dc.date.available	2025-01-23T07:37:51Z
dc.date.issued	2024
dc.identifier.issn	2666-2027
dc.identifier.other	doi.org/10.1016/j.ijft.2024.100690
dc.identifier.uri	http://rep.enu.kz/handle/enu/21064
dc.language.iso	en	ru
dc.publisher	International Journal of Thermofluids	ru
dc.relation.ispartofseries	22 (2024) 100690;
dc.subject	CH4 reforming process	ru
dc.subject	Hydrogen production	ru
dc.subject	Membrane reactor	ru
dc.subject	Optimization	ru
dc.subject	Synthesis gas	ru
dc.title	Optimizing membrane reactor structures for enhanced hydrogen yield in CH4 tri-reforming: Insights from sensitivity analysis and machine learning approaches	ru
dc.type	Article	ru