Dong, X.; Wei, S.; Tehranchi, A.; Saksena, A.; Ponge, D.; Sun, B.; Raabe, D.: The dual role of boron on hydrogen embrittlement: example of interface-related hydrogen effects in an austenite-ferrite two-phase lightweight steel. Acta Materialia 299, 121458 (2025)
Sun, B.; Zhao, H.; Dong, X.; Teng, C.; Zhang, A.; Kong, S.; Zhou, J.; Zhang, X.; Tu, S.-T.: Current challenges in the utilization of hydrogen energy-a focused review on the issue of hydrogen-induced damage and embrittlement. Advances in Applied Energy 14, 100168 (2024)
Saksena, A.; Sun, B.; Dong, X.; Khanchandani, H.; Ponge, D.; Gault, B.: Optimizing site-specific specimen preparation for atom probe tomography by using hydrogen for visualizing radiation-induced damage. International Journal of Hydrogen Energy 50 (Part A), pp. 165 - 174 (2024)
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
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.