Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties

• Selim Demirci ,

  Roles Conceptualization, Data curation, Software, Writing – original draft, Writing – review & editing

  * E-mail: s.demirci@bham.ac.uk

  Affiliations Marmara University, Faculty of Engineering, Department of Metallurgical and Materials Engineering, Istanbul, Turkey, University of Birmingham, School of Metallurgy and Materials, Birmingham, United Kingdom

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• Durmuş Özkan Şahin,

  Roles Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Ondokuz Mayıs University, Faculty of Engineering, Department of Computer Engineering, Samsun, Turkey

  https://orcid.org/0000-0002-0831-7825

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• Sercan Demirci,

  Roles Conceptualization, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Ondokuz Mayıs University, Faculty of Engineering, Department of Computer Engineering, Samsun, Turkey

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• Mehmet Masum Tünçay,

  Roles Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliation Marmara University, Faculty of Engineering, Department of Metallurgical and Materials Engineering, Istanbul, Turkey

  https://orcid.org/0000-0002-1624-5454

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• Moataz M. Attallah

  Roles Supervision, Validation, Visualization

  Affiliation University of Birmingham, School of Metallurgy and Materials, Birmingham, United Kingdom

  https://orcid.org/0000-0002-7074-9522

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