Publications of Luca M. Ghiringhelli

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

Sutton, C. A.; Baldock, R.; Ghiringhelli, L. M.; Scheffler, M.: High-Throughput Screening and Guided Design of Transparent Conducting Oxides. 253rd ACS National Meeting & Exposition, Advanced Materials, Technologies, Systems & Processes, San Francisco, CA, USA (2017)

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

Ghiringhelli, L. M.: Learning Descriptors from Materials-Science (Big) Data. Workshop, Beyond! Materials Design and Discovery, Kreuth, Germany (2016)

Ghiringhelli, L. M.: Big Data of Materials Science: The Critical Role of the Descriptor. Meeting, Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE), Berlin, Germany (2016)

Ghiringhelli, L. M.: Finding Descriptors for (Predicting the Plasticity of) Real Materials. Workshop on Big-Data-Driven Materials Science, Kreuth, Germany (2016)

Ghiringhelli, L. M.: Machine Learning for Fast Property Predictions. Electronic Structure Theory with Numeric Atom-Centered Basis Functions, FHI-aims Developers' and Users' Meeting, Munich, Germany (2016)

Ghiringhelli, L. M.: From Ab Initio Molecular Dynamics to Statistical Mechanics. Hands-on workshop and Humboldt-Kolleg: Density-Functional Theory and Beyond - Basic Principles and Modern Insights, Isfahan, Iran (2016)

Ghiringhelli, L. M.: Big-Data Analytics in Materials Science. Hands-on workshop and Humboldt-Kolleg: Density-Functional Theory and Beyond - Basic Principles and Modern Insights, Isfahan, Iran (2016)

Ghiringhelli, L. M.: Causal Models in Big-Data Analytics for Novel Materials Discovery. 2016 MRS Spring Meeting and Exhibit, Phoenix, AZ, USA (2016)

Ghiringhelli, L. M.: Learning Descriptors from Materials Science Big Data. Seminar, Department of Condensed Matter Theory, The Czech Academy of Sciences, Prague, Czech Republic (2016)

Ghiringhelli, L. M.: Learning Descriptors from Materials Science (Big) Data. Seminar, Department of Chemistry, University of California, Davis, CA, USA (2016)

Ghiringhelli, L. M.: A Common Energy Zero for Total Energies. CECAM/Psi-k/NOMAD Workshop, Towards a Common Format for Computational Materials Science Datas, Lausanne, Switzerland (2016)

Ghiringhelli, L. M.: Compressed Sensing for Optimal Basis Sets Identification. CECAM Workshop, Big Data of Materials Science - Critical Next Steps, Lausanne, Switzerland (2015)

Ghiringhelli, L. M.: Towards Ab Initio Modelling of Heterogeneous Catalysis: Beyond the Static, Monostructure Description. Seminar, NYU-ECNU Center for Computational Chemistry, Shanghai, China (2015)

Ghiringhelli, L. M.: Big Data of Materials Science: Critical Next Steps. Psi-k 2015 Conference, San Sebastian, Spain (2015)

Ghiringhelli, L. M.: Ab initio Molecular Dynamics and Nuclear Quantum Effects. Hands-on Workshop Density-Functional Theory and Beyond: First-Principles Simulations of Molecules and Materials, Berlin, Germany (2015)

Ghiringhelli, L. M.: Big-Data Analytics in Materials Science. Hands-on Workshop Density-Functional Theory and Beyond: First-Principles Simulations of Molecules and Materials, Berlin, Germany (2015)