Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Kerzel, Ulrich"'
Autor:
Reclik, Tom, Medghalchi, Setareh, Schumacher, Philipp, Wollenweber, Maximilian, Al-Samman, Talal, Korte-Kerzel, Sandra, Kerzel, Ulrich
Scanning Electron Microscopy (SEM) is pivotal in revealing intricate micro- and nanoscale features across various research fields. However, obtaining high-resolution SEM images presents challenges, including prolonged scanning durations and potential
Externí odkaz:
http://arxiv.org/abs/2410.03746
Autor:
Xie, Zhuocheng, Atila, Achraf, Guénolé, Julien, Korte-Kerzel, Sandra, Al-Samman, Talal, Kerzel, Ulrich
Grain boundary (GB) segregation in magnesium (Mg) substantially influences its mechanical properties and performance. Atomic-scale modelling, typically using ab-initio or semi-empirical approaches, has mainly focused on GB segregation at highly symme
Externí odkaz:
http://arxiv.org/abs/2407.14148
Autor:
Medghalchi, Setareh, Kortmann, Joscha, Lee, Sang-Hyeok, Karimi, Ehsan, Kerzel, Ulrich, Korte-Kerzel, Sandra
Many properties of commonly used materials are driven by their microstructure, which can be influenced by the composition and manufacturing processes. To optimise future materials, understanding the microstructure is critically important. Here, we pr
Externí odkaz:
http://arxiv.org/abs/2401.01147
Autor:
Medghalchi, Setareh, Zubair, Muhammad, Karimi, Ehsan, Sandlöbes-Haut, Stefanie, Kerzel, Ulrich, Korte-Kerzel, Sandra
We study a cast Mg-4.65Al-2.82Ca alloy with a microstructure containing $\alpha$-Mg matrix reinforced with a C36 Laves phase skeleton. Such ternary alloys are targeted for elevated temperature applications in automotive engines since they possess exc
Externí odkaz:
http://arxiv.org/abs/2303.10477
Autor:
Medghalchi, Setareh, Karimi, Ehsan, Lee, Sang-Hyeok, Berkels, Benjamin, Kerzel, Ulrich, Korte-Kerzel, Sandra
High performance sheet metals with a multi-phase microstructure suffer from deformation induced damage formation during forming in the constituent phases but importantly also where these intersect. To capture damage in terms of the physical processes
Externí odkaz:
http://arxiv.org/abs/2303.05869
Autor:
Medghalchi, Setareh, Kortmann, Joscha, Lee, Sang-Hyeok, Karimi, Ehsan, Kerzel, Ulrich, Korte-Kerzel, Sandra
Publikováno v:
In Materials & Design July 2024 243
Publikováno v:
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
Supervised machine learning algorithms have seen spectacular advances and surpassed human level performance in a wide range of specific applications. However, using complex ensemble or deep learning algorithms typically results in black box models, w
Externí odkaz:
http://arxiv.org/abs/2002.03425
Autor:
Wollenweber, Maximilian A., Medghalchi, Setareh, Guimarães, Luiz R., Lohrey, Nicole, Kusche, Carl F., Kerzel, Ulrich, Al-Samman, Talal, Korte-Kerzel, Sandra
Publikováno v:
In Materials & Design July 2023 231
Autor:
Medghalchi, Setareh, Karimi, Ehsan, Lee, Sang-Hyeok, Berkels, Benjamin, Kerzel, Ulrich, Korte-Kerzel, Sandra
Publikováno v:
In Materials & Design June 2023
Autor:
Kusche, Carl, Reclik, Tom, Freund, Martina, Al-Samman, Talal, Kerzel, Ulrich, Korte-Kerzel, Sandra
High performance materials, from natural bone over ancient damascene steel to modern superalloys, typically possess a complex structure at the microscale. Their properties exceed those of the individual components and their knowledge-based improvemen
Externí odkaz:
http://arxiv.org/abs/1809.09657