Combined electrochemical, DFT/MD-simulation and hybrid machine learning based on ANN-ANFIS models for prediction of doxorubicin drug as corrosion inhibitor for mild steel in 0.5 M H2SO4 solution-Reference-Cited by-同舟云学术

Combined electrochemical, DFT/MD-simulation and hybrid machine learning based on ANN-ANFIS models for prediction of doxorubicin drug as corrosion inhibitor for mild steel in 0.5 M H2SO4 solution

Published:2023-11 Issue: Volume:1229 Page:114334
ISSN:2210-271X
Container-title:Computational and Theoretical Chemistry
language:en
Short-container-title:Computational and Theoretical Chemistry

Author:

Abeng Fidelis Ebunta^ORCID,Anadebe Valentine Chikaodili

Publisher

Elsevier BV

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,Biochemistry

Reference71 articles.

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4. A study of vitamin B influence on the morphology, roughness, and reflectance of electro-polished aluminium in H3PO4–H2SO4 mixture;Abouzeid;Arab. J. Chem.,2020

5. Experimental/computational assessments of API steel in 6 M H2SO4 medium containing novel pyridine derivatives as corrosion inhibitors;Farag;J. Mol. Liq.,2021

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