Robotics & Machine Learning Daily News2024,Issue(Mar.28) :89-89.

Faculty of Technology Reports Findings in Machine Learning (QSPR for the predict ion of critical micelle concentration of different classes of surfactants using machine learning algorithms)

Robotics & Machine Learning Daily News2024,Issue(Mar.28) :89-89.

Faculty of Technology Reports Findings in Machine Learning (QSPR for the predict ion of critical micelle concentration of different classes of surfactants using machine learning algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news originating from Medea, Algeria, by NewsRx corresp ondents, research stated, “The determination of the critical micelle concentrati on (CMC) is a crucial factor when evaluating surfactants, making it an essential tool in studying the properties of surfactants in various industrial fields. In this present research, we assembled a comprehensive set of 593 different classe s of surfactants including, anionic, cationic, nonionic, zwitterionic, and Gemin i surfactants to establish a link between their molecular structure and the nega tive logarithmic value of critical micelle concentration (pCMC) utilizing quanti tative structure-property relationship (QSPR) methodologies.”

Key words

Medea/Algeria/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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