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Journal Article (9)

1.
Journal Article
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)
2.
Journal Article
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 19, pp. 1 - 19 (2019)
3.
Journal Article
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)
4.
Journal Article
Kühbach, M.; Bajaj, P.; Breen, A. J.; Jägle, E. A.; Gault, B.: On Strong Scaling Open Source Tools for Mining Atom Probe Tomography Data. Microscopy and Microanalysis 25 (S2 ), pp. 298 - 299 (2019)
5.
Journal Article
Kühbach, M.; Breen, A. J.; Herbig, M.; Gault, B.: Building a Library of Simulated Atom Probe Data for Different Crystal Structures and Tip Orientations Using TAPSim. Microscopy and Microanalysis 25 (2), pp. 320 - 330 (2019)
6.
Journal Article
Latypov, M. I.; Kühbach, M.; Beyerlein, I. J.; Stinville, J. C.; Tóth, L. S.; Pollock, T. M.; Kalidindi, S. R.: Application of chord length distributions and principal component analysis for quantification and representation of diverse polycrystalline microstructures. Materials Characterization 145, pp. 671 - 685 (2018)
7.
Journal Article
Schwarze, C.; Kamachali, R. D.; Kühbach, M.; Mießen, C.; Tegeler, M.; Barrales-Mora, L. A.; Steinbach, I.; Gottstein, G.: Computationally Efficient Phase-field Simulation Studies Using RVE Sampling and Statistical Analysis. Computational Materials Science 147, pp. 204 - 216 (2018)
8.
Journal Article
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)
9.
Journal Article
Haase, C.; Kühbach, M.; Barrales-Mora, L. A.; Wong, S. L.; Roters, F.; Molodov, D. A.; Gottstein, G.: Recrystallization behavior of a high-manganese steel: Experiments and simulations. Acta Materialia 100, pp. 155 - 168 (2015)

Talk (3)

10.
Talk
Diehl, M.; Kühbach, M.; Kertsch, L.; Traka, K.; Raabe, D.: Coupled Experimental–Computational Analysis of Primary Static Recrystallization in Low Carbon Steel. Seminar of the Department of Mechanical Science and Engineering of the University of Illinois , Urbana-Champaign, Il, USA (2019)
11.
Talk
Diehl, M.; Kühbach, M.; Raabe, D.: Experimental–computational analysis of primary static recrystallizazion in DC04 steel. 9th International Conference on Multiscale Materials Modeling , Osaka, Japan (2018)
12.
Talk
Kühbach, M.; Roters, F.; Imran, M.; Bambach, M.; Breen, A. J.; Gault, B.; Bajaj, P.; Zhao, H.: Scalable Quantifying of Evolving Descriptive Spatial Statistics in Full-Field Crystal Plasticity and Atom Probe Tomography. Institut für Metallkunde und Metallphysik, RWTH Aachen University, Aachen, Germany (2018)

Poster (3)

13.
Poster
Diehl, M.; Kühbach, M.; Raabe, D.: Experimental–computational analysis of primary static recrystallizazion in DC04 steel. 9th International Conference on Multiscale Materials Modeling , Osaka, Japan (2018)
14.
Poster
Kühbach, M.; Breen, A. J.; Herbig, M.; Gault, B.; Raabe, D.: Building a Library of Simulated Atom Probe Data for Different Crystal Structures and Pillar Orientations Using TAPSim. APT&M 2018 International Conference on Atom-Probe Tomography & Microscopy, Washington, DC, USA (2018)
15.
Poster
Diehl, M.; Kühbach, M.; Broß, C.; Raabe, D.: Experimental-Numerical Analysis of Primary Recrystallization in DC04 Low Carbon Steel. Gordon Research Conference on Physical Metallurgy: Frontiers of Quantification and Predictive Capability in Physical Metallurgy, University of New England, Biddeford, ME, USA (2017)

Other (1)

16.
Other
Kühbach, M. T.: transcoder tool added first implementation of Python reader for *.APT files.., paraprobe, (2020)
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