Robotics & Machine Learning Daily News2024,Issue(Aug.21) :17-18.

University of Tennessee Reports Findings in Machine Learning (Comparison of Mach ine Learning Approaches for Prediction of the Equivalent Alkane Carbon Number fo r Microemulsions Based on Molecular Properties)

Robotics & Machine Learning Daily News2024,Issue(Aug.21) :17-18.

University of Tennessee Reports Findings in Machine Learning (Comparison of Mach ine Learning Approaches for Prediction of the Equivalent Alkane Carbon Number fo r Microemulsions Based on Molecular Properties)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Tennessee, U nited States, by NewsRx correspondents, research stated, “Thechemical propertie s of oils are vital in the design of microemulsion systems. The hydrophilic-lipo philicdifference equation used to predict microemulsions’ phase behavior expres ses the oils’ physiochemicalproperties as the equivalent alkane carbon number ( EACN).”

Key words

Tennessee/United States/North and Cent ral America/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文