Piroozi G 1
1. Data-driven modeling to predict static contact angle in H2/brine/mineral/cushion gas systems: Implications for underground H2 storage
2. Artificial intelligence for NMR chemical shift prediction
3. Designing Imidazolium-Mediated Polymer Electrolytes for Lithium-Ion Batteries Using Machine-Learning Approaches: An Insight into Ionene Materials
4. Novel intelligent models for prediction of hydrogen diffusion coefficient in brine using experimental and molecular dynamics simulation data: Implications for underground hydrogen storage in geological formations
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