首页|Findings from Chinese Academy of Sciences Yields New Findings on Machine Learnin g (A Machine Learning Methodology for Investigating the Liquid-liquid Transition of Hydrogen Under Highpressure)
Findings from Chinese Academy of Sciences Yields New Findings on Machine Learnin g (A Machine Learning Methodology for Investigating the Liquid-liquid Transition of Hydrogen Under Highpressure)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Hefei, People’s Republic of China, by NewsRx editors, research stated, “Due to its unique properties such a s superconductivity and superfluidity, high-pressure properties of hydrogen attr act a lot of attention. However, the Liquid-Liquid Transition (LLT) of hydrogen under high-pressure and high-temperature is of particular significance for under standing its metallization.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), NPL, CAEP.
HefeiPeople's Republic of ChinaAsiaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic ChemicalsMachine LearningChinese Academy of Sciences
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