Prediction of Critical Micelle Concentration of Nonionic Surfactants by a Quantitative Structure – Property Relationship-Reference-Cited by-同舟云学术

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Prediction of Critical Micelle Concentration of Nonionic Surfactants by a Quantitative Structure – Property Relationship

Published:2010-01-01 Issue:1 Volume:13 Page:39-44
ISSN:1386-2073
Container-title:Combinatorial Chemistry & High Throughput Screening
language:en
Short-container-title:CCHTS

Author:

Mozrzymas Anna,Rozycka-Roszak Bozenna

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of critical micelle concentration (CMC) of surfactants based on structural differentiation using machine learning;Colloids and Surfaces A: Physicochemical and Engineering Aspects;2024-11

2. Molecular designs of enhanced oil recovery chemicals;Recovery Improvement;2023

3. On the hydrophobic chains effect on critical micelle concentration of cationic gemini surfactants using molecular connectivity indices;Monatshefte für Chemie - Chemical Monthly;2020-04

4. Norm descriptors for predicting the hydrophile-lipophile balance (HLB) and critical micelle concentration (CMC) of anionic surfactants;Colloids and Surfaces A: Physicochemical and Engineering Aspects;2019-12

5. Current approaches for choosing feature selection and learning algorithms in quantitative structure–activity relationships (QSAR);Expert Opinion on Drug Discovery;2018-11-03

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