Xie, K.; Yang, F.; Ebbinghaus, P.; Erbe, A.; Muhler, M.; Xia, W.: A reevaluation of the correlation between the synthesis parameters and structure and properties of nitrogen-doped carbon nanotubes. Journal of Energy Chemistry 24 (4), pp. 407 - 415 (2015)
Chen, P.; Chew, L. M.; Kostka, A.; Muhler, M.; Xia, W.: The structural and electronic promoting effect of nitrogen-doped carbon nanotubes on supported Pd nanoparticles for selective olefin hydrogenation. Catalysis Science & Technology 3 (8), pp. 1964 - 1971 (2013)
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 targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.