Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning

• Carl Kusche ,

  Contributed equally to this work with: Carl Kusche, Tom Reclik

  Roles Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Institute of Physical Metallurgy and Metal Physics, RWTH Aachen University, Aachen, Germany

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• Tom Reclik ,

  Contributed equally to this work with: Carl Kusche, Tom Reclik

  Roles Data curation, Investigation, Methodology, Software, Writing – review & editing

  Affiliation Institute of Physical Metallurgy and Metal Physics, RWTH Aachen University, Aachen, Germany

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• Martina Freund,

  Roles Data curation, Formal analysis, Writing – review & editing

  Affiliation Institute of Physical Metallurgy and Metal Physics, RWTH Aachen University, Aachen, Germany

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• Talal Al-Samman,

  Roles Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Institute of Physical Metallurgy and Metal Physics, RWTH Aachen University, Aachen, Germany

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• Ulrich Kerzel,

  Roles Conceptualization, Investigation, Methodology, Software, Supervision, Writing – original draft, Writing – review & editing

  Affiliations Institute of Physical Metallurgy and Metal Physics, RWTH Aachen University, Aachen, Germany, IUBH University of Applied Sciences, Bad Honnef, Germany

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• Sandra Korte-Kerzel

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: korte-kerzel@imm.rwth-aachen.de

  Affiliation Institute of Physical Metallurgy and Metal Physics, RWTH Aachen University, Aachen, Germany

  http://orcid.org/0000-0002-4143-5129

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