Jang, K.; Kim, M.-Y.; Jung, C.; Kim, S.-H.; Choi, D.; Park, S.-C.; Scheu, C.; Choi, P.-P.: Direct Observation of Trace Elements in Barium Titanate of Multilayer Ceramic Capacitors Using Atom Probe Tomography. Microscopy and Microanalysis 30 (6), pp. 1047 - 1056 (2024)
Yoo, B.; Jung, C.; Jang, K.; Jun, H.; Choi, P.-P.: Novel Ni-Co-based superalloys with high thermal stability and specific yield stress discovered by directed energy deposition. Materials and Design 238, 112607 (2024)
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)
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
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…