Publications of Luca M. Ghiringhelli

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)

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.: 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.: 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.: Data-Driven Maps of Materials’ Properties: Methods and Infrastructure. BIOVIA Materials Studio Community Days, Session: Data-Driven Materials Modelling, Brussels, Belgium (2018)

Ghiringhelli, L. M.: HPC for Computationally and Data-Intensive Problems. SuperMUC-NG Next-Gen Science Symposium, Munich, Germany (2018)

Ghiringhelli, L. M.: The NOMAD Analytics Toolkit: Interactive Big-Data Driven Materials Science over the Web. NOMAD Summer - A hands-on course on tools for novel-materials discovery, Lausanne, Switzerland (2018)

Ghiringhelli, L. M.: Data-Driven Materials Science: Statistical Methods and Infrastructure for Learning Maps of Materials’ Properties. Workshop, Molecular Simulation and Engineering, MolSimEng 2018, Milan, Italy (2018)

Ghiringhelli, L. M.: Data-Driven Materials Science: Building Maps of Materials Properties. 2018 E-MRS Fall Meeting and Exhibit, Warsaw, Poland (2018)

Ghiringhelli, L. M.: Data-Driven Materials’ Properties Maps: Methods and Infrastructure. Leverhulme Research Centre for Functional Materials Design Inaugural Symposium, Liverpool, UK (2018)

Ghiringhelli, L. M.: Data-Driven Materials' Properties Maps: Methods and Infrastructure. FHI-aims Developers' and Users' Meeting, Electronic Structure Theory with Numeric Atom-Centered Basis Functions, Munich, Germany (2018)

Ghiringhelli, L. M.: Big-Data Analytics. Hands-On DFT and Beyond: Frontiers of Advanced Electronic Structure and Molecular Dynamics Methods, Beijing, China (2018)

Ghiringhelli, L. M.: Metal and Metal-Oxide Clusters at Realistic Conditions: Beyond the Static, Monostructure Description. PASC18 Conference, Minisymposia 44 – Emerging Trends in Statistical Mechanics Applications to Nanostructured Materials, Basel, Switzerland (2018)

Ghiringhelli, L. M.: Data-Driven Materials Science: Critical Role of the Descriptor. International Workshop, Machine Learning for Quantum Many-body Physics, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany (2018)

Ghiringhelli, L. M.: Data-Driven Materials Science: Methods and Infrastructure for Building Maps of Materials. Symposium on Materials Genome Towards Exascale, Spetses, Greece (2018)

Ghiringhelli, L. M.: Exploiting the New Paradigm: Crowd Sourcing Data-Driven Materials Science. CECAM Workshop, Machine Learning at Interfaces, EPFL, Lausanne, Switzerland (2018)

Ghiringhelli, L. M.: Novel Materials Discovery: Big-Data-Analytics Methods and Infrastructure for Building Maps of Materials. 2018 eSSENCE Multiscale Modelling Meeting, Uppsala, Sweden (2018)

Ghiringhelli, L. M.: Discovering Interpretable Descriptors Through Compressed Sensing. BiGmax Workshop 2018 on Big-Data-Driven Materials Science, Kloster Irsee, Irsee, Germany (2018)