Publications of Lucas Foppa

Foppa, L.: Clean Experimental Data for Artificial Intelligence – A Key to Decoding Materials Genes in Heterogeneous Catalysis. The 27th North American Catalysis Society Meeting (NAM27), New York, NY, USA (2022)

Foppa, L.: Materials Genes of Selective Oxidation From Clean Experiments and Artificial Intelligence. Symposium, FUNCAT/Center2Center Meeting, Berlin, Germany (2022)

Foppa, L.: Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated With Materials Properties. Seminar, Cardiff University, Online Event (2022)

Foppa, L.: Materials Genes of Heterogeneous Catalysis From Clean Experiments and Artificial Intelligence. 8th UK Catalysis Conference (UKCC2022), Loughborough, UK (2022)

Foppa, L.: Identifying the Materials Genes of Heterogeneous Catalysis With Clean Experiments and Tailored Artificial Intelligence. Colloquium, ETH Zurich, Department of Chemistry and Applied Biosciences, Online Event (2021)

Foppa, L.; Scheffler, M.: Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups. (2024)

Boley, M.; Luong, F.; Teshuva, S.; Schmidt, D. F.; Foppa, L.; Scheffler, M.: From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery. (2023)

Foppa, L.; Scheffler, M.: Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials with Exceptional Performance. (2023)

Bauer, S.; Benner, P.; Bereau, T.; Blum, V.; Boley, M.; Carbogno, C.; Catlow, C. R. A.; Dehm, G.; Eibl, S.; Ernstorfer, R. et al.; Fekete, A.; Foppa, L.; Fratzl, P.; Freysoldt, C.; Gault, B.; Ghiringhelli, L. M.; Giri, S. K.; Gladyshev, A.; Goyal, P.; Hattrick-Simpers, J.; Kabalan, L.; Karpov, P.; Khorrami, M. S.; Koch, C.; Kokott, S.; Kosch, T.; Kowalec, I.; Kremer, K.; Leitherer, A.; Li, Y.; Liebscher, C. H.; Logsdail, A. J.; Lu, Z.; Luong, F.; Marek, A.; Merz, F.; Mianroodi, J. R.; Neugebauer, J.; Purcell, T. A. R.; Raabe, D.; Rampp, M.; Rossi, M.; Rost, J.-M.; Saalmann, U.; Saxena, A.; Sbailo, L.; Scheffler, M.; Scheidgen, M.; Schloz, M.; Schmidt, D. F.; Teshuva, S.; Trunschke, A.; Wei, Y.; Weikum, G.; Xian, R. P.; Yao, Y.; Zhao, M.: Roadmap on Data-Centric Materials Science. (2024)