Publikationen von Luca M. Ghiringhelli

Ghiringhelli, L. M.: Application of (Kohn-Sham) Density-Functional Theory to Real Materials. In: Many-Electron Approaches in Physics, Chemistry and Mathematics: A Multidisciplinary View, S. 191 - 206 (Hg. Bach, V.; Delle Site, L.). Springer, Cham (2014)

Donadio, D.; Peköz, R.; Woerner, S.; Ghiringhelli, L. M.; Delle Site, L.: Autocatalytic and cooperatively-stabilized dissociative adsorption of water on stepped metal surfaces. In Abstracts of Papers of the American Chemical Society, 245, 7-COMP. (2013)

Ghiringhelli, L. M.: Deep Uncertainties. IOP-FHI workshop, Frontiers of Electronic Structure Theory and Materials Genomics, Beijing, China (2023)

Ghiringhelli, L. M.: Global and Local Metadata for Computational Workflows: The Nomad Path to Fair Scientific Data (And Software). CECAM Flagship Workshop Proposal FAIR and TRUE Data Processing for Soft Matter Simulations, Mainz, Germany (2023)

Ghiringhelli, L. M.: Introduction to Artificial Intelligence and Its Application to Materials Science. School on Artificial Intelligence for Materials Science in the Exascale Era, Platja d'Aro, Spain (2023)

Ghiringhelli, L. M.: Artificial Intelligence Driven Search for Functional Materials: Symbolic Inference in Catalysis. Seminar, Materials Square, Online Event (2023)

Ghiringhelli, L. M.: AI-Ready Materials-Science FAIR Data: Methods and Infrastructure. 2nd MGE Workshop towards Materials Data Standards & CSTM FC97 Forum 2022, Online Event (2023)

Ghiringhelli, L. M.: AI-Ready Materials-Science Fair Data: Methods and Infrastructure. Seminar, Science and Technology Facilities Council (STFC), Online Event (2022)

Ghiringhelli, L. M.: FAIRmat: Concept and News. NOMAD Meeting, Revealing New and Novel Materials, Mechanisms, and Insights (a Perspective), Potsdam, Germany (2022)

Ghiringhelli, L. M.: Ontologies in Computational Materials Science: The NOMAD Experience. Workshop, Ontologies for Materials-Databases Interoperability (OMDI2021), Online Event (2021)

Ghiringhelli, L. M.: Compressed Sensing Meets Symbolic Regression: Learning Interpretable Models. BIG DATA SUMMER – A summer school of the BiGmax Network, Online Event (2021)

Ghiringhelli, L. M.: Symbolic Inference for Small-Data-Driven Materials Science. Workshop, Computational Spintronics Group, Trinity College Dublin, Dublin, Ireland (2021)

Ghiringhelli, L. M.: Data-Driven Materials Maps: Symbolic Inference Applied to Heterogeneous Catalysis. ACS Fall Meeting 2021, Online Event (2021)

Ghiringhelli, L. M.: NOMAD Metainfo: FAIR (Meta)data for Materials Science. Workshop, Research-Data Management in Biophysics, European Biophysics Conference 2021, Online Event (2021)

Ghiringhelli, L. M.: Towards Small-Data-Driven Materials Science. Autumn Meeting, EOSBF 2021, Brasilian Physical Society, Online Event (2021)

Ghiringhelli, L. M.: Symbolic Inference in Materials Science: Towards Human-Friendly Artificial Intelligence. Physics Colloquium online, Theoretical Chemical Physics group, University of Luxembourg, Online Event (2021)

Ghiringhelli, L. M.: Towards Small-Data-Driven Materials Science. 2021 MRS Spring Meeting & Exhibit, Online Event (2021)

Ghiringhelli, L. M.: Clusters and Surfaces in Reactive Atmospheres at Realistic Conditions: Beyond the Static, Monostructure Description. APS March Meeting 2021, Online Event (2021)

Ghiringhelli, L. M.: FAIR Data and Metadata: The NOMAD Experience. Workshop, Research Data Management, Guidelines, and Standards, BATTERY 2030+, Online Event (2021)

Ghiringhelli, L. M.: Ontologies in Computational Materials Science: The NOMAD Experience. 3rd EMMC International Workshop (EMMC 2021), Online Event (2021)