Robotics & Machine Learning Daily News2024,Issue(Nov.19) :91-92.

Data from Lulea University of Technology Broaden Understandingof Machine Learni ng (Predicting the solubility of CO2 and N2 in ionic liquids based on COSMO-RS a nd machine learning)

来自卢利亚理工大学的数据拓宽了理解机器学习(基于cosmo-rs和机器学习的CO2和N2在离子液体中的溶解度预测)

Robotics & Machine Learning Daily News2024,Issue(Nov.19) :91-92.

Data from Lulea University of Technology Broaden Understandingof Machine Learni ng (Predicting the solubility of CO2 and N2 in ionic liquids based on COSMO-RS a nd machine learning)

来自卢利亚理工大学的数据拓宽了理解机器学习(基于cosmo-rs和机器学习的CO2和N2在离子液体中的溶解度预测)

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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-关于人工智能的最新研究成果已经发表。根据NewsRx记者从瑞典Lul Ea发回的新闻报道,研究称“作为离子液体”(Ils)随着时间的推移,人们越来越需要发展理论方法来预测Ils的发生。离子液体的性质,如气体溶解性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Lul ea, Sweden, by NewsRx correspondents, research stated, “As ionic liquids(Ils) c ontinue to be prepared, there is a growing need to develop theoretical methods f or predicting theproperties of Ils, such as gas solubility.”

Key words

Lulea University of Technology/Lulea/S weden/Europe/Cyborgs/Emerging Technologies/Ionic Liquids/Machine Learning/Solvents

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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