[{"author":[{"first_name":"Parastoo","last_name":"Semnani","full_name":"Semnani, Parastoo"},{"last_name":"Bogojeski","first_name":"Mihail","full_name":"Bogojeski, Mihail"},{"full_name":"Bley, Florian","last_name":"Bley","first_name":"Florian"},{"first_name":"Zizheng","last_name":"Zhang","full_name":"Zhang, Zizheng"},{"full_name":"Wu, Qiong","first_name":"Qiong","last_name":"Wu"},{"full_name":"Kneib, Thomas","last_name":"Kneib","first_name":"Thomas"},{"full_name":"Herrmann, Jan","last_name":"Herrmann","first_name":"Jan"},{"id":"264138","full_name":"Weisser, Christoph","last_name":"Weisser","first_name":"Christoph"},{"first_name":"Florina","last_name":"Patcas","full_name":"Patcas, Florina"},{"first_name":"Klaus-Robert","last_name":"Müller","full_name":"Müller, Klaus-Robert"}],"_id":"6921","intvolume":"       128","citation":{"alphadin":"<span style=\"font-variant:small-caps;\"><span style=\"font-variant:small-caps;\">Semnani, Parastoo</span> ; <span style=\"font-variant:small-caps;\">Bogojeski, Mihail</span> ; <span style=\"font-variant:small-caps;\">Bley, Florian</span> ; <span style=\"font-variant:small-caps;\">Zhang, Zizheng</span> ; <span style=\"font-variant:small-caps;\">Wu, Qiong</span> ; <span style=\"font-variant:small-caps;\">Kneib, Thomas</span> ; <span style=\"font-variant:small-caps;\">Herrmann, Jan</span> ; <span style=\"font-variant:small-caps;\">Weisser, Christoph</span> ; u. a.</span>: A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. In: <i>Journal of Physical Chemistry C</i> Bd. 128 (2024), Nr. 50, S. 21349–21367","mla":"Semnani, Parastoo, et al. “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.” <i>Journal of Physical Chemistry C</i>, vol. 128, no. 50, 2024, pp. 21349–67, doi:<a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">10.1021/acs.jpcc.4c05332</a>.","ieee":"P. Semnani <i>et al.</i>, “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery,” <i>Journal of Physical Chemistry C</i>, vol. 128, no. 50, pp. 21349–21367, 2024.","short":"P. Semnani, M. Bogojeski, F. Bley, Z. Zhang, Q. Wu, T. Kneib, J. Herrmann, C. Weisser, F. Patcas, K.-R. Müller, Journal of Physical Chemistry C 128 (2024) 21349–21367.","bibtex":"@article{Semnani_Bogojeski_Bley_Zhang_Wu_Kneib_Herrmann_Weisser_Patcas_Müller_2024, title={A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery}, volume={128}, DOI={<a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">10.1021/acs.jpcc.4c05332</a>}, number={50}, journal={Journal of Physical Chemistry C}, author={Semnani, Parastoo and Bogojeski, Mihail and Bley, Florian and Zhang, Zizheng and Wu, Qiong and Kneib, Thomas and Herrmann, Jan and Weisser, Christoph and Patcas, Florina and Müller, Klaus-Robert}, year={2024}, pages={21349–21367} }","ama":"Semnani P, Bogojeski M, Bley F, et al. A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. <i>Journal of Physical Chemistry C</i>. 2024;128(50):21349-21367. doi:<a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">10.1021/acs.jpcc.4c05332</a>","chicago":"Semnani, Parastoo, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, and Klaus-Robert Müller. “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.” <i>Journal of Physical Chemistry C</i> 128, no. 50 (2024): 21349–67. <a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">https://doi.org/10.1021/acs.jpcc.4c05332</a>.","apa":"Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K.-R. (2024). A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. <i>Journal of Physical Chemistry C</i>, <i>128</i>(50), 21349–21367. <a href=\"https://doi.org/10.1021/acs.jpcc.4c05332\">https://doi.org/10.1021/acs.jpcc.4c05332</a>"},"main_file_link":[{"open_access":"1"}],"publication_identifier":{"eissn":["1932-7455"],"issn":["1932-7447"]},"language":[{"iso":"eng"}],"user_id":"220548","date_created":"2026-05-28T11:16:13Z","page":"21349-21367","publication_status":"published","status":"public","date_updated":"2026-05-29T07:23:09Z","publication":"Journal of Physical Chemistry C","title":"A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery","quality_controlled":"1","oa":"1","doi":"10.1021/acs.jpcc.4c05332","issue":"50","type":"journal_article","volume":128,"article_type":"original","year":"2024"}]