Publikationen von Lucas Foppa

Foppa, L.: Learning Design Rules for Heterogeneous Catalysis via AI. Chemistry Colloquium, Universidad Jaume I, Castellon, Spain (2024)

Foppa, L.: AI-Model-Driven Optimization of Materials Properties: Challenges and Application to Catalyst Discovery. Symposium for the Max-Planck-Cardiff Centre on the Fundamentals of Heterogeneous Catalysis (FUNCAT), Cardiff, UK (2024)

Foppa, L.: Identifying Materials Genes via Artificial Intelligence. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (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.: Learning Design Rules for Heterogeneous Catalysts via Artificial Intelligence. Surface Science Discussions 2024, Online Event (2024)

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.: 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 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)