Practical Prediction of Gas Separation Performance in Polymeric Membranes Using Machine Learning.
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| Title: | Practical Prediction of Gas Separation Performance in Polymeric Membranes Using Machine Learning. |
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| Authors: | Zentou H; Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia., Issa MA; Department of Oil and Gas Economics, College of Administrative and Financial Sciences, Imam Ja'afar Al-Sadiq University, Baghdad, Iraq., Alshareef BS; Advanced Membranes & Porous Materials (AMPM) Centre, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia., Abdelnaby MM; Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. |
| Source: | Chemistry, an Asian journal [Chem Asian J] 2026 Feb; Vol. 21 (4), pp. e70645. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101294643 Publication Model: Print Cited Medium: Internet ISSN: 1861-471X (Electronic) Linking ISSN: 1861471X NLM ISO Abbreviation: Chem Asian J Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1861-471X |
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| DOI: | 10.1002/asia.70645 |
