Park, H.; Jung, C.; Yi, S.; Choi, P.-P.: Elucidating the ball-milling-induced crystallization mechanism of amorphous NbCo1.1Sn via atomic-scale compositional analysis. Journal of Alloys and Compounds 968, 172014 (2023)
Jung, C.; Jeon, S.-j.; Lee, S.; Park, H.; Han, S.; Oh, J.; Yi, S.-H.; Choi, P.-P.: Reduced lattice thermal conductivity through tailoring of the crystallization behavior of NbCoSn by V addition. Journal of Alloys and Compounds 962, 171191 (2023)
Jung, C.; Zhang, S.; Cheng, N.; Scheu, C.; Yi, S.-H.; Choi, P.-P.: Effect of Heat Treatment Temperature on the Crystallization Behavior and Microstructural Evolution of Amorphous NbCo1.1Sn. ACS Applied Materials and Interfaces 15 (39), pp. 46064 - 46073 (2023)
Kim, H.; Bobel, A.; Jung, C.; Olson, G. B.; Euh, K.: Strengthening model development and effects of low diffusing solutes to coarsening resistance in aluminum alloys. Materials Today Communications 36, 106636 (2023)
Kim, S.-H.; Shin, K.; Zhou, X.; Jung, C.; Kim, H. Y.; Pedrazzini, S.; Conroy, M.; Henkelman, G.; Gault, B.: Atom probe analysis of BaTiO3 enabled by metallic shielding. Scripta Materialia 229, 115370 (2023)
Aota, L. S.; Jung, C.; Zhang, S.; Kim, S.-H.; Gault, B.: Revealing Compositional Evolution of PdAu Electrocatalyst by Atom Probe Tomography. ACS Energy Letters 8 (6), pp. 2824 - 2830 (2023)
Bueno Villoro, R.; Zavanelli, D.; Jung, C.; Mattlat, D. A.; Naderloo, R. H.; Pérez, N. A.; Nielsch, K.; Snyder, G. J.; Scheu, C.; He, R.et al.; Zhang, S.: Grain Boundary Phases in NbFeSb Half-Heusler Alloys: A New Avenue to Tune Transport Properties of Thermoelectric Materials. Advanced Energy Materials 13 (13), 2204321 (2023)
Kim, S.-H.; Jun, H.; Jang, K.; Choi, P.-P.; Gault, B.; Jung, C.: Exploring the Surface Segregation of Rh Dopants in PtNi Nanoparticles through Atom Probe Tomography Analysis. The Journal of Physical Chemistry C 127 (46), pp. 22721 - 22725 (2023)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…