Publications of Luca M. Ghiringhelli

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.: Novel Materials Discovery: Big-Data-Analytics Methods and Infrastructure for Building Maps of Materials. Materials Today Webinar, Harnessing the Potential of Open Data in Materials Science (2018)

Ghiringhelli, L. M.: SISSO: A Compressed-Sensing Method for Systematically Identifying Efficient Physical Models of Materials Properties. Total Energy and Force Methods 2018 Workshop, Cambridge, UK (2018)

Ghiringhelli, L. M.: Big Data of Materials Science: Critical Role of the Descriptor. Conference on Molecular Nanostructures 2017, Ascona, Switzerland (2017)

Ghiringhelli, L. M.: Configurational Sampling. NSF/CECAM School on Computational Materials Science: From Basics to Applications, Lausanne, Switzerland (2017)

Ghiringhelli, L. M.: (Big-)Data Driven Materials Science. NSF/CECAM School on Computational Materials Science: From Basics to Applications, Lausanne, Switzerland (2017)

Ghiringhelli, L. M.: Computational Modeling of Energy Materials from First-Principles II: From the Atomic Scale to the “Real World”. Energy & Sustainability Summer School 2017, Leiden University, Leiden, The Netherlands (2017)

Ghiringhelli, L. M.: (Big-)Data Driven Materials Science. Lecture Series, Fundamental Research in Energy and Sustainability Hour Minisymposium (FRESH Lecture), Leiden Institute of Chemistry, Leiden University, Leiden, The Netherlands (2017)

Ghiringhelli, L. M.: Big-Data Driven Materils Science. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (2017)

Ghiringhelli, L. M.: Learning Descriptors from Materials-Science (Big) Data. CECAM Workshop, Interface Morphology Prediction with Robust and Efficient Structure Search (IMPRESS), Helsinki, Finland (2017)

Ghiringhelli, L. M.: Materials Informatics Towards Open Science - NOMAD. Science and Technology of Advanced Materials (STAM) workshop @ E-MRS 2017 Spring Meeting, Strasbourg, France (2017)

Ghiringhelli, L. M.: The NOMAD Laboratory: Interactive Big-Data Driven Materials Science. International Workshop on Materials Genome Infrastructure and Materials Design, Beijing, China (2017)

Ghiringhelli, L. M.: The NOMAD Laboratory: Interactive Big-Data Driven Materials Science. Seminar, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China (2017)

Ghiringhelli, L. M.: Big-Data of Materials Science: The Critical Role of the Descriptor. Platform for Advanced Scientific Computing (PASC17) Conference, Lugano, Switzerland (2017)

Ghiringhelli, L. M.: Ab Initio Statistical Mechanics. Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Berlin, Germany (2017)

Ghiringhelli, L. M.: Compressed Sensing and Screening for Properties. Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Berlin, Germany (2017)