摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果将在一份新报告中讨论。根据来自中华人民共和国珠海的新闻报道，由NewsRx编辑，Research称，"多孔材料对氙/氪(Xe/Kr)的吸附分离已引起人们的广泛关注工业发展。金属有机骨架(MOFs)和共价有机骨架(COFs)具有永久孔隙、超高比表面积和可调孔径的特点，可以有效地分离Xe/Kr，通过高通量的计算筛选和筛选，可以识别出有前途的Xe/Kr。机器清理"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Zhuhai, People ’s Republic of China, by NewsRx editors, research stated, “Theadsorption separa tion of xenon/krypton (Xe/Kr) by porous materials has gained significant attenti onin industrial development. Metal-organic frameworks (MOFs) and covalent-organ ic frameworks (COFs)featuring permanent porosity, ultra-high surface area, and tunable pore size enable efficient separation of Xe/Kr, which promising structur es can be identified by high-throughput computational screening andmachine lear ning.”
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