Researchers from Jiangnan University Provide Details of New Studies and Findings in the Area of Machine Learning [Prediction of Critical Mice lle Concentration (Cmc) of Surfactants Based On Structural Differentiation Using Machine Learning]

江南大学的研究人员提供了机器学习领域的新研究和发现的细节[基于机器学习的结构分化预测表面活性剂临界小鼠LLE浓度(Cmc)]

Robotics & Machine Learning Daily News2024，Issue(Nov.27) ：23-24.

来源：

NETL
NSTL

Researchers from Jiangnan University Provide Details of New Studies and Findings in the Area of Machine Learning [Prediction of Critical Mice lle Concentration (Cmc) of Surfactants Based On Structural Differentiation Using Machine Learning]

江南大学的研究人员提供了机器学习领域的新研究和发现的细节[基于机器学习的结构分化预测表面活性剂临界小鼠LLE浓度(Cmc)]

扫码查看

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-调查人员发布马学习的新报告。根据新闻报道来自中华人民共和国无锡的NewsRx记者的研究表明，“衡量关键的表面活性剂胶束浓度(CMC)对理解界面具有重要意义财产。但是,传统方法存在测试持续时间长、测试时间短等问题实验准确性，以及理论计算的复杂性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Wuxi, People’s Republic of Chin a, by NewsRx journalists, research stated, “Measuring the criticalmicelle conce ntration (CMC) of surfactants holds significant importance in comprehending thei r interfacialproperties. However, traditional methods suffer from issues such a s lengthy testing durations, lowexperimental accuracy, and the complexity of th eoretical calculations.”

Key words

Wuxi/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Jiangnan University

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

浏览量1

段落导航