Publications of Markus Kühbach

Li, Y.; Wei, Y.; Saxena, A.; Kühbach, M.; Freysoldt, C.; Gault, B.: Machine learning enhanced atom probe tomography analysis. Progress in Materials Science 156, 101561 (2026)

Gault, B.; Saksena, A.; Sauvage, X.; Bagot, P.; Aota, L. S.; Arlt, J.; Belkacemi, L. T.; Boll, T.; Chen, Y.-S.; Daly, L. et al.; Djukic, M.; Douglas, J.; Duarte, M. J.; Felfer, P. J.; Forbes, R.; Fu, J.; Gardner, H.; Gemma, R.; Gerstl, S. S. A.; Gong, Y.; Hachet, G.; Jakob, S.; Jenkins, B. M.; Jones, M. E.; Khanchandani, H.; Kontis, P.; Krämer, M.; Kühbach, M.; Marceau, R. K. W.; Mayweg, D.; Moore, K.; Nallathambi, V.; Ott, B.; Poplawsky, J. D.; Prosa, T.; Pundt, A.; Saha, M.; Schwarz, T.; Shang, Y.; Shen, X.; Vrellou, M.; Yu, Y.; Zhao, Y.; Zou, B.: Towards Establishing Best Practice in the Analysis of Hydrogen and Deuterium by Atom Probe Tomography. Microscopy and Microanalysis 30 (6), pp. 1205 - 1220 (2024)

Zhou, X.; Wei, Y.; Kühbach, M. T.; Zhao, H.; Vogel, F.; Kamachali, R. D.; Thompson, G. B.; Raabe, D.; Gault, B.: Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data. Acta Materialia 226, 117633 (2022)

Kühbach, M. T.; Bajaj, P.; Zhao, H.; Çelik, M. H.; Jägle, E. A.; Gault, B.: On strong-scaling and open-source tools for analyzing atom probe tomography data. npj Computational Materials 7 (1), 21 (2021)

Kühbach, M. T.; Kasemer, M.; Gault, B.; Breen, A. J.: Open and strong-scaling tools for atom-probe crystallography: high-throughput methods for indexing crystal structure and orientation. Journal of Applied Crystallography 54 (Pt 5), pp. 1490 - 1508 (2021)

Kühbach, M. T.; Roters, F.: Quantification of 3D spatial correlations between state variables and distances to the grain boundary network in full-field crystal plasticity spectral method simulations. Modelling and Simulation in Materials Science and Engineering 28, 055005 (2020)

Wei, Y.; Peng, Z.; Kühbach, M.; Breen, A. J.; Legros, M.; Larranaga, M.; Mompiou, F.; Gault, B.: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods. PLoS One 14 (11), e0225041 (2019)

Diehl, M.; Kühbach, M.: Coupled experimental-computational analysis of primary static recrystallization in low carbon steel. Modelling and Simulation in Materials Science and Engineering 28 (1), 014001 (2019)

Imran, M.; Kühbach, M.; Roters, F.; Bambach, M.: Development of a Model for Dynamic Recrystallization Consistent with the Second Derivative Criterion. Materials 10 (11), 1259, pp. 1 - 18 (2017)