Das, S. M.; Harrison, P.; Kiranbabu, S.; Zhou, X.; Ludwig, W.; Rauch, E. F.; Herbig, M.; Liebscher, C.: Correlating Grain Boundary Character and Composition in 3-Dimensions Using 4D-Scanning Precession Electron Diffraction and Atom Probe Tomography. Small Methods 9 (5), 2401650 (2025)
Cheng, N.; Sun, H.; Pivak, Y.; Liebscher, C.: Direct Visualization and Quantitative Insights into the Formation and Phase Evolution of Cu Nanoparticles via In Situ Liquid Phase 4D-STEM. ADVANCED SCIENCE 12 (19), 2500706 (2025)
Sevlikar, S. V.; Muralikrishna, G. M.; Gaertner, D.; Starikov, S.; Brink, T.; Scheiber, D.; Smirnova, D.; Irmer, D.; Tas, B.; Esin, V. A.et al.; Razumovskiy, V. I.; Liebscher, C.; Wilde, G.; Divinski, S. V.: Grain boundary diffusion and segregation of Cr in Ni Σ11(1̄13)[110] bicrystals: Decoding the role of grain boundary defects. Acta Materialia 278, 120229 (2024)
Guo, S.; Ji, Y.; Liao, G.; Wang, J.; Shen, Z.-H.; Qi, X.; Liebscher, C.; Cheng, N.; Ren, L.; Ge, B.: Tailoring Heterostructure Growth on Liquid Metal Nanodroplets through Interface Engineering. Journal of the American Chemical Society 146 (29), pp. 19800 - 19808 (2024)
Ahmad, S.; Brink, T.; Liebscher, C.; Dehm, G.: Influence of variation in grain boundary parameters on the evolution of atomic structure and properties of [111] tilt boundaries in aluminum. Acta Materialia 268, 119732 (2024)
Kamachali, R. D.; Wallis, T.; Ikeda, Y.; Saikia, U.; Ahmadian, A.; Liebscher, C.; Hickel, T.; Maass, R.: Giant segregation transition as origin of liquid metal embrittlement in the Fe-Zn system. Scripta Materialia 238, 115758 (2024)
Torres, P. A. L.; Li, Y.-S.; Grön, C.; Lazaridis, T.; Watermeyer, P.; Cheng, N.; Liebscher, C.; Gasteiger, H. A.: ORR Activity and Voltage-Cycling Stability of a Carbon-Supported PtxY Alloy Catalyst Evaluated in a PEM Fuel Cell. Journal of the Electrochemical Society 170 (12), 124503 (2023)
Leitherer, A.; Yeo, B. C.; Liebscher, C.; Ghiringhelli, L. M.: Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy. npj Computational Materials 9 (1), 179 (2023)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Electron channelling contrast imaging (ECCI) is a powerful technique for observation of extended crystal lattice defects (e.g. dislocations, stacking faults) with almost transmission electron microscopy (TEM) like appearance but on bulk samples in the scanning electron microscope (SEM).
The project aims to study corrosion, a detrimental process with an enormous impact on global economy, by combining denstiy-functional theory calculations with thermodynamic concepts.