Artificial intelligence-based prediction of hydrogen uptake of metal organic frameworks with high volumetric storage density for fuel cell systems
The growing release of greenhouse gases from hydrocarbon use has intensified the demand for clean and sustainable energy solutions. Hydrogen, with its high energy output and eco-friendly combustion byproducts, stands out as a promising candidate. However, storing hydrogen, especially for vehicles, p...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825001600 |
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