Publications of Luca M. Ghiringhelli

Ghiringhelli, L. M.: Bridging Scales With Symbolic Inference: The Case of Heterogeneous Catalysis. Symposium, Machine Learning: application to Chemical Reactions, Thomas Young Centre (TYC), Online Event (2021)

Ghiringhelli, L. M.: Bridging Scales With Symbolic Inference: The Case of Heterogeneous Catalysis. Seminar, NOMAD Laboratory & MA Group, Online Event (2021)

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

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

Ghiringhelli, L. M.: Beyond Just Fitting Numbers: Interpretable Artificial Intelligence for the Small Data of Materials Science. Lecture, Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS), Online Event (2020)

Ghiringhelli, L. M.: Beyond Just Fitting Numbers: Interpretable Artificial Intelligence for the Small Data of Materials Science. Colloquium, Leibniz-Institut für Kristallzüchtung (IKZ), Online Event (2020)

Ghiringhelli, L. M.: Artificial Intelligence for Data-Driven Materials Science: Small Data and Interpretability. Seminar, TÜBİTAK TBAE, Research Institute for Fundamental Sciences, Online Event (2020)

Ghiringhelli, L. M.: Artificial Intelligence for Data-Driven Materials Science: Small Data and Interpretability. Colloquium, Medical Physics and Metrological IT, Physikalisch-Technische Bundesanstalt (PTB), Online Event (2020)

Ghiringhelli, L. M.: Community-Driven Metadata and Ontologies for Materials Science and Their Key Role in Artificial-Intelligence Tools. EERAdata Workshop No. 1, FAIR and open principles and METADATA for low carbon energy, Online Event (2020)

Ghiringhelli, L. M.: Metadata and Ontologies for Computational and Experimental Materials Science: Achievements and Challenges. Workshop, Superalloy Data Science, ICAMS Ruhr-Universität Bochum, Bochum, Germany (2020)

Ghiringhelli, L. M.: Artificial Intelligence for (Big?) Data-Driven Materials Science: Achievements and Perspectives. Colloquium, Machine Learning meets Chemistry, Department of Chemistry, University of Turin, Turin, Italy (2020)

Ghiringhelli, L. M.: Community-Driven Metadata and Ontologies for Materials Science and Their Key Role in Artificial-Intelligence Tools. Conference on a FAIR Data Infrastructure for Materials Genomics, Online Event (2020)

Ghiringhelli, L. M.: Beyond the Static, Mono-Structure Description: Meta-Stable States and Anharmonic Dynamics in Clusters and Surfaces at Real (T, p) Conditions. FHI-Workshop on Current Research Topics at the FHI, Online Event (2020)

Ghiringhelli, L. M.: Data-Driven Cartography of Materials Properties. Workshop on Crystal Structure Prediction: Exploring the Mendeleev Table as a Palette to Design New Materials, International Centre for Theoretical Physics (ICTP), Trieste, Italy (2019)

Ghiringhelli, L. M.: Data-Driven Materials Science: The Critical Role of the Descriptor. SBP Group Seminar, Physics and Chemistry of Biological Systems - SISSA, Trieste, Italy (2019)

Ghiringhelli, L. M.: Topics in Data-Driven Materials Science: Crowd Sourcing and Maps of Material Properties. PRESTO International Symposium on Materials Informatics, Tokyo, Japan (2019)

Ghiringhelli, L. M.: Compressed Sensing for Data-Driven Materials Science. BiGmax Workshop 2019 on Big-data-driven Materials Science, Dresden, Germany (2019)

Ghiringhelli, L. M.: Data-Driven Materials Science: The Critical Role of the Descriptor. Seminar, University of Warwick, Coventry, UK (2019)

Ghiringhelli, L. M.: Exploring the Materials Space via Regularized and Symbolic Regression. ML4MS 2019, Young Researcher’s Workshop on Machine Learning for Materials Science 2019, Aalto University, Helsinki, Finland (2019)

Ghiringhelli, L. M.: Metadata Towards FAIR Data Sharing for Data-Driven Materials Science: Achievements and Open Challenges. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (2019)