Mahmoudi Kouhi M 1
1. Novel robust Elman neural network-based predictive models for bubble point oil formation volume factor and solution gas–oil ratio using experimental data
2. Data-driven modeling to predict static contact angle in H2/brine/mineral/cushion gas systems: Implications for underground H2 storage
3. New intelligent models for predicting wax appearance temperature using experimental data – Flow assurance implications
4. Advances of Ionic-Mediated Polymer Architectures for CO2 Gas Separation Membranes: A Comprehensive Review of Design, Progress, and Future Prospects
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