Publications of Lucas Foppa

Foppa, L.: Describing Materials Properties and Functions via the Materials Genes Concept. International Workshop on Data-Driven Computational and Theoretical Materials Design, Shanghai, China (2024)

Foppa, L.: Data-Centric Heterogeneous Catalysis: Identifying Materials Genes with Artificial Intelligence. 10th International Symposium on Surface Science, ISSS-10, Kita-Kyushu, Japan (2024)

Foppa, L.: Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials With Exceptional Performance. APS March Meeting 2024, Minneapolis, MN, USA (2024)

Foppa, L.: Multi-Objective Optimization of Subgroups for the Discovery of Exceptional Materials. DPG Spring Meeting of the Condensed Matter Section (SKM), Berlin, Germany (2024)

Foppa, L.: From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials Discovery. DPG Spring Meeting of the Condensed Matter Section (SKM), Berlin, Germany (2024)

Foppa, L.: Design of Palladium-Based Alloys for the Catalytic Hydrogenation of Concentrated Acetylene via Mechanochemical Synthesis and Artificial Intelligence. DPG Spring Meeting of the Condensed Matter Section (SKM), Berlin, Germany (2024)

Foppa, L.: Identifying Materials Genes via Artificial Intelligence. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (2024)

Foppa, L.: Describing Complex Materials Properties and Functions via the “Materials Genes” Concept. IOP-HU Early Career Researcher Conference on Energising Materials 2024, Berlin, Germany (2024)

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.: Learning Rules for Selective Hydrogenation Catalysis With AI. Symposium for the Max-Planck-Cardiff Centre on the Fundamentals of Heterogeneous Catalysis (FUNCAT), Mülheim, Germany (2023)

Foppa, L.: Identifying Rules and Materials Genes of Properties and Functions via Tailored Artificial Intelligence. Theoretical Chemistry Colloquium, Humboldt-Universität zu Berlin, Berlin, Germany (2023)

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

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

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)