Multilayer perceptron neural network-based QSAR models for the assessment and prediction of corrosion inhibition performances of ionic liquids-Reference-Cited by-同舟云学术

Multilayer perceptron neural network-based QSAR models for the assessment and prediction of corrosion inhibition performances of ionic liquids

Published:2022-11 Issue: Volume:214 Page:111753
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Quadri Taiwo W.,Olasunkanmi Lukman O.,Fayemi Omolola E.,Akpan Ekemini D.,Lee Han-Seung,Lgaz Hassane,Verma Chandrabhan,Guo Lei,Kaya Savaş,Ebenso Eno E.

Funder

Council for Scientific and Industrial Research, South Africa

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference66 articles.

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