Publications of Markus Kühbach
All genres
Journal Article (14)
1.
Journal Article
Towards Establishing Best Practice in the Analysis of Hydrogen and Deuterium by Atom Probe Tomography. Microscopy and Microanalysis (2024)
2.
Journal Article
226, 117633 (2022)
Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data. Acta Materialia 3.
Journal Article
7 (1), 21 (2021)
On strong-scaling and open-source tools for analyzing atom probe tomography data. npj Computational Materials 4.
Journal Article
54 (Pt 5), pp. 1490 - 1508 (2021)
Open and strong-scaling tools for atom-probe crystallography: high-throughput methods for indexing crystal structure and orientation. Journal of Applied Crystallography 5.
Journal Article
Community-Driven Methods for Open and Reproducible Software Tools for Analyzing Datasets from Atom Probe Microscopy. Microscopy and Microanalysis, pp. 1 - 16 (2021)
6.
Journal Article
28, 055005 (2020)
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 7.
Journal Article
14 (11), e0225041 (2019)
3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods. PLoS One 8.
Journal Article
28 (1), 014001 (2019)
Coupled experimental-computational analysis of primary static recrystallization in low carbon steel. Modelling and Simulation in Materials Science and Engineering 9.
Journal Article
25 (S2 ), pp. 298 - 299 (2019)
On Strong Scaling Open Source Tools for Mining Atom Probe Tomography Data. Microscopy and Microanalysis 10.
Journal Article
25 (2), pp. 320 - 330 (2019)
Building a Library of Simulated Atom Probe Data for Different Crystal Structures and Tip Orientations Using TAPSim. Microscopy and Microanalysis 11.
Journal Article
145, pp. 671 - 685 (2018)
Application of chord length distributions and principal component analysis for quantification and representation of diverse polycrystalline microstructures. Materials Characterization 12.
Journal Article
147, pp. 204 - 216 (2018)
Computationally Efficient Phase-field Simulation Studies Using RVE Sampling and Statistical Analysis. Computational Materials Science 13.
Journal Article
10 (11), 1259, pp. 1 - 18 (2017)
Development of a Model for Dynamic Recrystallization Consistent with the Second Derivative Criterion. Materials 14.
Journal Article
100, pp. 155 - 168 (2015)
Recrystallization behavior of a high-manganese steel: Experiments and simulations. Acta Materialia Talk (3)
15.
Talk
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)
16.
Talk
Experimental–computational analysis of primary static recrystallizazion in DC04 steel. 9th International Conference on Multiscale Materials Modeling , Osaka, Japan (2018)
17.
Talk
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)
18.
Poster
Experimental–computational analysis of primary static recrystallizazion in DC04 steel. 9th International Conference on Multiscale Materials Modeling , Osaka, Japan (2018)
19.
Poster
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)
20.
Poster
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)