Klemm, S. O.; Topalov, A. A.; Laska, C. A.; Mayrhofer, K. J. J.: Coupling of a high throughput microelectrochemical cell with online multielemental trace analysis by ICP-MS. Electrochemistry Communications 13 (12), pp. 1533 - 1535 (2011)
Laska, C. A.; Rossrucker, L.; Klemm, S. O.; Pust, S. E.; Hüpkes, J.; Mayrhofer, K. J. J.: Die Kopplung von Elektrochemie mit zeitaufgelöster Elementanalytik am Beispiel der chemischen und elektrochemischen Oberflächentexturierung von ZnO-Dünnschichten. In: Tagungsband zur Jahrestagung der Gesellschaft für Korrosionsschutz e.V. 2013, pp. 118 - 128. Jahrestagung der Gesellschaft für Korrosionsschutz e.V. , Frankfurt am Main, Germany, November 12, 2013 - November 13, 2013. (2013)
Laska, C. A.: Development of a Scanning Flow Cell system with Dynamic Electrolyte Change for Fully Automated Parameter Screening. Dissertation, Ruhr-Universität Bochum, Bochum, Germany (2015)
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…