Publikationen von Lucas Foppa

Miyazaki, R.; Belthle, K. S.; Tüysüz, H.; Foppa, L.; Scheffler, M.: Materials Genes of CO₂ Hydrogenation on Supported Cobalt Catalysts: An Artificial Intelligence Approach Integrating Theoretical and Experimental Data. Journal of the American Chemical Society 146 (8), S. 5433 - 5444 (2024)

Foppa, L.; Rüther, F.; Geske, M.; Koch, G.; Girgsdies, F.; Kube, P.; Carey, S.; Hävecker, M.; Timpe, O.; Tarasov, A. et al.; Scheffler, M.; Rosowski, F.; Schlögl, R.; Trunschke, A.: Data-Centric Heterogeneous Catalysis: Identifying Rules and Materials Genes of Alkane Selective Oxidation. Journal of the American Chemical Society 145 (6), S. 3427 - 3442 (2023)

Belthle, K. S.; Beyazay, T.; Ochoa-Hernández, C.; Miyazaki, R.; Foppa, L.; Martin, W. F.; Tüysüz, H.: Effects of Silica Modification (Mg, Al, Ca, Ti, and Zr) on Supported Cobalt Catalysts for H₂-Dependent CO₂ Reduction to Metabolic Intermediates. Journal of the American Chemical Society 144 (46), S. 21232 - 21243 (2022)

Foppa, L.; Purcell, T.; Levchenko, S. V.; Scheffler, M.; Ghiringhelli, L. M.: Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated with Bulk Properties of Perovskites. Physical Review Letters 129 (5), 0545301 (2022)

Foppa, L.; Sutton, C. A.; Ghiringhelli, L. M.; De, S.; Löser, P.; Schunk, S. A.; Schäfer, A.; Scheffler, M.: Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence. ACS Catalysis 12 (4), S. 2233 - 2232 (2022)

Foppa, L.; Ghiringhelli, L. M.: Identifying Outstanding Transition‑Metal‑Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery. Topics in Catalysis 65 (1-4), S. 196 - 206 (2022)

Foppa, L.; Ghiringhelli, L. M.: Correction to: Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery. Topics in Catalysis 65 (1-4), S. 207 - 207 (2022)

Foppa, L.; Ghiringhelli, L. M.; Girgsdies, F.; Hashagen, M.; Kube, P.; Hävecker, M.; Carey, S.; Tarasov, A.; Kraus, P.; Rosowski, F. et al.; Schlögl, R.; Trunschke, A.; Scheffler, M.: Materials genes of heterogeneous catalysis from clean experiments and artificial intelligence. MRS Bulletin 46 (11), S. 1016 - 1026 (2021)

Trunschke, A.; Bellini, G.; Boniface, M.; Carey, S.; Dong, J.; Erdem, E.; Foppa, L.; Frandsen, W.; Geske, M.; Ghiringhelli, L. M. et al.; Girgsdies, F.; Hanna, R.; Hashagen, M.; Hävecker, M.; Huff, G.; Knop-Gericke, A.; Koch, G.; Kraus, P.; Kröhnert, J.; Kube, P.; Lohr, S.; Lunkenbein, T.; Masliuk, L.; Naumann d’Alnoncourt, R.; Omojola, T.; Pratsch, C.; Richter, S.; Rohner, C.; Rosowski, F.; Rüther, F.; Scheffler, M.; Schlögl, R.; Tarasov, A.; Teschner, D.; Timpe, O.; Trunschke, P.; Wang, Y.; Wrabetz, S.: Towards Experimental Handbooks in Catalysis. Topics in Catalysis 63 (19-20), S. 1683 - 1699 (2020)

Foppa, L.: Identifying Rules and Materials Genes of Properties and Functions via AI. IOP-FHI workshop, Frontiers of Electronic Structure Theory and Materials Genomics, Beijing, China (2023)

Foppa, L.: The Catalyst "Genes" Identified by Artificial Intelligence. 22nd Brazilian Congress on Catalysis, Bento Gonçalves, Brazil (2023)

Foppa, L.: The "Genes" of Materials Properties and Functions Identified by Symbolic Regression. 9th International Summer School on AI and Big Data, Center for Scalable Data Analytics and Artificial Intelligence, Dresden, Germany (2023)

Foppa, L.: Data-Centric Materials Science: Identifying "Materials Genes" With AI. Seminar, Institute of Materials Chemistry, TU Wien, Vienna, Austria (2023)

Foppa, L.: Subgroup Discovery. School on Artificial Intelligence for Materials Science in the Exascale Era, Platja d’Aro, Spain (2023)

Foppa, L.: Identifying Materials Genes of Properties and Functions via AI. School on Artificial Intelligence for Materials Science in the Exascale Era, Platja d’Aro, Spain (2023)

Foppa, L.: Dentifying Rules and Materials Genes of Heterogeneous Catalysis via Artificial Intelligence. Seminar, School of Chemistry, University of Nottingham, Nottingham, UK (2023)

Foppa, L.: Identifying Materials Genes of Properties and Functions via Artificial Intelligence. NOMAD Meeting, Revealing New and Novel Materials, Mechanisms, and Insights (a Perspective), Potsdam, Germany (2022)

Foppa, L.: Identifying Materials Genes of Properties and Functions via Artificial Intelligence. DPG Meeting of the Condensed Matter Section (SKM) 2022, Regensburg, Germany (2022)

Foppa, L.: Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated With Materials Properties. Machine Learning School for Materials @ ILUM, Online Event (2022)

Foppa, L.: Beyond a Single Description in Subgroup Discovery of Exceptional Materials: Coherent Collections of Rules Clustered by Similarity. NOMAD Workshop, Data-centric Cruising for New and Novel Materials, Mechanisms, and Insights, Kiel, Germany (2022)