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Artificial Intelligence and Machine Learning in Corrosion Research
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Author(s): Valentine Chikaodili Anadebe (Corrosion and Materials Protection Division, CSIR-Central Electrochemical Research Institute, Karaikudi, India & Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India), Vitalis Ikenna Chukwuike (Corrosion and Materials Protection Division, CSIR-Central Electrochemical Research Institute, Karaikudi, India & Department of Industrial Chemistry, Federal University of Medical Science, Uburu, Nigeria), Chukwunonso Chukwuzuluoke Okoye (Department of Chemical Engineering, Nnamdi Azikwe University, Awka, Nigeria), Lei Guo (School of Materials and Chemical Engineering, Tongren University, Tongren, China)and Rakesh Chandra Barik (Corrosion and Materials Protection Division, CSIR-Central Electrochemical Research Institute, India & Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India)
Copyright: 2023
Pages: 23
Source title:
Handbook of Research on Corrosion Sciences and Engineering
Source Author(s)/Editor(s): Younes El Kacimi (University Ibn Tofail, Morocco)and Lei Guo (Tongren University, China)
DOI: 10.4018/978-1-6684-7689-5.ch001
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Abstract
Currently, the world is gradually moving to a digital world with the advent of artificial intelligence and machine learning models. The invention of these algorithms is a very big development for society. Artificial intelligence is a branch of science and engineering discipline concerned with teaching machines to think fast and operate like humans. Machine learning is concerned with using computer software to analyse complex non-linear tasks without the need for complex programming. In the oil and gas sector, the use of artificial intelligence and machine learning to appraise the efficiency of an inhibitor is gradually gaining attention in corrosion inhibition and pipeline integrity assessment. However, the proposed chapter will discuss more on the role of artificial intelligence and machine learning in corrosion related research.
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