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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

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Year: 2023
Type: article
Source: Computational and Theoretical Chemistry
DOI: 10.1016/j.comptc.2023.114334
Authors: Fidelis Ebunta Abeng, Valentine Chikaodili Anadebe
Institutions: University of Cross River State, University of Uyo, Central Electrochemical Research Institute, Alex Ekwueme Federal University, Ndufu-Alike, Academy of Scientific and Innovative Research
Language: English

Topic: Corrosion Behavior and Inhibition
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: green

Funders: The World Academy of Sciences, Council of Scientific and Industrial Research, India, Academy of Scientific and Innovative Research, Central ElectroChemical Research Institute
Award: G4986297347
OpenAlex ID: W4386812946
FWCI: 4.92
Cites: 74
Cited by: 73
Related to: 10
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