Segregation effects of interstitial and substitutional elements at grain boundaries in ferritic iron and their effect on liquid metal embrittlement

Publications of Stefan Bauer

Journal Article (1)

1.
Journal Article
Li, Y.; Zhou, X.; Colnaghi, T.; Wei, Y.; Marek, A.; Li, H.; Bauer, S.; Rampp, M.; Stephenson, L.: Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. npj Computational Materials 7 (1), 8 (2021)

Talk (2)

2.
Talk
Rao, Z.; Wei, Y.; Tung, P.-Y.; Xie, R.; Zhang, H.; Bauer, S.; Raabe, D.: Machine learning-enabled high-entropy Invar alloy discovery. Accelerated Discovery of new materials, 787 WE-Heraeus-Seminar, Physikzentrum Bad Honnef, Germany (2023)
3.
Talk
Rao, Z.; Tung, P.-Y.; Xie, R.; Zhang, H.; Wei, Y.; Li, Z.; Gutfleisch, O.; Bauer, S.; Raabe, D.: Machine learning-enabled fast high-entropy alloy discovery - a case study on novel Invar alloys. DGM workshop:Functional High Entropy Alloys / Hochentropiefunktionswerkstoffe, Bochum, Germany (2022)

Poster (1)

4.
Poster
Li, Y.; Stephenson, L.; Zhou, X.; Colnaghi, T.; Marek, A.; Bauer, S.; Rampp, M.; Raabe, D.; Gault, B.: Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys. BIGmax workshop 2020, online, Düsseldorf, Germany (2020)

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