首页|Data on Machine Learning Discussed by Researchers at Queen’s University Belfast (Enhanced Hydrogen Storage Efficiency With Sorbents and Machine Learning: a Review)
Data on Machine Learning Discussed by Researchers at Queen’s University Belfast (Enhanced Hydrogen Storage Efficiency With Sorbents and Machine Learning: a Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learning. According to news reporting from Belfast, United Kingdom, by NewsRx journal ists, research stated, “Hydrogen is viewed as the future carbon-neutral fuel, ye t hydrogen storage is a key issue for developing the hydrogen economy because cu rrent storage techniques are expensive and potentially unsafe due to pressures r eaching up to 700 bar. As a consequence, research has recently designed advanced hydrogen sorbents, such as metal-organic frameworks, covalent organic framework s, porous carbon-based adsorbents, zeolite, and advanced composites, for safer hydrogen storage.”
BelfastUnited KingdomEuropeCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningQueen’s University Belfast
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