Researchers from Nanjing University Discuss Findings in Machine Learning [Machine Learning-assisted Screening of Metal-organic Frameworks (Mofs) for the R emoval of Heavy Metals In Aqueous Solution]

南京大学的研究人员讨论机器学习的发现[机器学习辅助筛选金属有机框架(MOF)去除水溶液中重金属]

Robotics & Machine Learning Daily News2024，Issue(Jul.3) ：106-106.

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Researchers from Nanjing University Discuss Findings in Machine Learning [Machine Learning-assisted Screening of Metal-organic Frameworks (Mofs) for the R emoval of Heavy Metals In Aqueous Solution]

南京大学的研究人员讨论机器学习的发现[机器学习辅助筛选金属有机框架(MOF)去除水溶液中重金属]

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。据NewsRx记者在南京的新闻报道，研究表明：“开发高效的重金属吸附剂是污水深度处理的当务之急。到目前为止，吸附剂的设计主要依靠实验和分子模拟的方法，由于潜在材料的数量庞大，效率低，耗时长。”本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Developing heavy metal adsorbents with high efficiency is imperative for advanced wastewater treatment. So far, the de sign of adsorbents has primarily relied on the experimental and molecular simula tion methods, which is inefficient and time-consuming due to the vast number of potential materials.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Nanjing/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University

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出版年

2024

Robotics & Machine Learning Daily News

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