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)
Erbe, A.; Valtiner, M.; Muhler, M.; Mayrhofer, K. J. J.; Rohwerder, M.: Physical chemistry of surfaces and interfaces. Lecture: Course for PhD students of the IMPRS Surmat, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2013 - October 31, 2013
Iqbal, D.: Ultrathin Chemisorbed Polymer Coatings: Corrosion Protection and Nanostructuring of ZnO. Dissertation, Faculty of Chemistry and Biochemistry, Ruhr University Bochum, Bochum, Germany (2014)
Meier, J. C.: Degradation phenomena and design principles for stable and active Pt/C fuel cell catalysts. Dissertation, Fakultät für Chemie und Biochemie, Ruhr-Universität Bochum, Bochum, Germany (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
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…