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Works (4)

DRAGen – A deep learning supported RVE generator framework for complex microstructure models

Heliyon
2023-08 | Journal article
DOI: 10.1016/j.heliyon.2023.e19003
Contributors: Manuel Henrich; Niklas Fehlemann; Felix Bexter; Maximilian Neite; Linghao Kong; Fuhui Shen; Markus Könemann; Michael Dölz; Sebastian Münstermann
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Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network

steel research international
2023-07 | Journal article
DOI: 10.1002/srin.202200836
Contributors: Niklas Fehlemann; Ana Lia Suarez Aguilera; Stefan Sandfeld; Felix Bexter; Maximilian Neite; David Lenz; Markus Könemann; Sebastian Münstermann
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Irregular microstructure-property linkage for cast alloys by a novel deep learning approach: Application on cast austenitic stainless steel

Materials Today Communications
2023-06 | Journal article
DOI: 10.1016/j.mtcomm.2023.105979
Contributors: Bohao Ma; Jinshan He; Ali Ramazani; Niklas Fehlemann; Xitao Wang; Sebastian Münstermann
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A data driven computational microstructure analysis on the influence of martensite banding on damage in DP-steels

Computational Materials Science
2023-02 | Journal article
DOI: 10.1016/j.commatsci.2022.111903
Contributors: Felix Pütz; Niklas Fehlemann; Volkan Göksu; Manuel Henrich; Markus Könemann; Sebastian Münstermann
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