Publications

Josten, N.; Franzka, S.; Rao, Z.; Smoliarova, T.; Kovács, A.; Scheibel, F.; Staab, F.; Acet, M.; Çakır, A.; Durst, K. et al.; Gault, B.; Dunin-Borkowski, R. E.; Gutfleisch, O.; Farle, M.: Location and morphology of ferromagnetic precipitates in Ni–Mn–Sn. Physical Review Materials 7, 124411 (2023)

Han, L.; Maccari, F.; Soldatov, I.; Peter, N. J.; Souza Filho, I. R.; Schäfer, R.; Gutfleisch, O.; Li, Z.; Raabe, D.: Strong and ductile high temperature soft magnets through Widmanstätten precipitates. Nature Communications 14, 8176 (2023)

Li, Y.; Wei, Y.; Wang, Z.; Liu, X.; Colnaghi, T.; Han, L.; Rao, Z.; Zhou, X.; Huber, L.; Dsouza, R. et al.; Gong, Y.; Neugebauer, J.; Marek, A.; Rampp, M.; Bauer, S.; Li, H.; Baker, I.; Stephenson, L.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Nature Communications 14 (1), 7410 (2023)

Wu, P.; Zhang, Y.; Han, L.; Gan, K.; Yan, D.; Wu, W.; He, L.; Fu, Z.; Li, Z.: Unexpected sluggish martensitic transformation in a strong and super-ductile high-entropy alloy of ultralow stacking fault energy. Acta Materialia 261, 119389 (2023)

Saxena, A.; Polin, N.; Kusampudi, N.; Katnagallu, S.; Molina-Luna, L.; Gutfleisch, O.; Berkels, B.; Gault, B.; Neugebauer, J.; Freysoldt, C.: A Machine Learning Framework for Quantifying Chemical Segregation and Microstructural Features in Atom Probe Tomography Data. Microscopy and Microanalysis 29 (5), pp. 1658 - 1670 (2023)

Rao, Z.; Li, Y.; Zhang, H.; Colnaghi, T.; Marek, A.; Rampp, M.; Gault, B.: Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms. Scripta Materialia 234, 115542 (2023)

Zhang, X.; Han, L.; Dehm, G.; Liebscher, C.: Microstructure and physical properties of dual-phase soft magnetic Fe–Co–Ti–Ge alloys. Journal of Alloys and Compounds 945, 169282 (2023)