Li, Y.; Fang, X.; Zhang, S.; Feng, X.: Microstructure evolution of FeNiCr alloy induced by stress-oxidation coupling using high temperature nanoindentation. Corrosion Science 135, pp. 192 - 196 (2018)
Yue, M.; Dong, X.; Fang, X.; Feng, X.: Effect of interface reaction and diffusion on stress-oxidation coupling at high temperature. Journal of Applied Physics 123 (15), 155301 (2018)
Fang, X.; Dong, X.; Jiang, D.; Feng, X.: Modification of the mechanism for stress-aided grain boundary oxidation ahead of cracks. Oxidation of Metals 89 (3-4), pp. 331 - 338 (2018)
Lu, S.-Y.; Chen, Y.; Fang, X.; Feng, X.: Hydrogen peroxide sensor based on electrodeposited Prussian blue film. Journal of Applied Electrochemistry 47 (11), pp. 1261 - 1271 (2017)
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
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.