摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-调查人员讨论机器学习的新发现。根据《新闻周刊》编辑在合肥的新闻报道，研究表明：“氢ATTR由于其独特的超导和超流动性，其高压性质引起了人们的广泛关注，而氢在高压和高温下的液-液转变(LLT)对于理解其金属化具有特殊意义。”本研究的资助单位包括国家自然科学基金(NSFC)、国家自然科学基金。
Abstract
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.
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