Publications of Luca M. Ghiringhelli

Talk (117)

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Ghiringhelli, L. M.: Configurational Sampling. NSF/CECAM School on Computational Materials Science: From Basics to Applications, Lausanne, Switzerland (2017)
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Ghiringhelli, L. M.: (Big-)Data Driven Materials Science. NSF/CECAM School on Computational Materials Science: From Basics to Applications, Lausanne, Switzerland (2017)
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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)
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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)
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Ghiringhelli, L. M.: Big-Data of Materials Science: The Critical Role of the Descriptor. Platform for Advanced Scientific Computing (PASC17) Conference, Lugano, Switzerland (2017)
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Ghiringhelli, L. M.: The NOMAD Laboratory: Interactive Big-Data Driven Materials Science. Seminar, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China (2017)
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Ghiringhelli, L. M.: The NOMAD Laboratory: Interactive Big-Data Driven Materials Science. International Workshop on Materials Genome Infrastructure and Materials Design, Beijing, China (2017)
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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)
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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)
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Ghiringhelli, L. M.: Big-Data Driven Materils Science. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (2017)
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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)
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Ghiringhelli, L. M.: Big Data of Materials Science: Critical Role of the Descriptor. Conference on Molecular Nanostructures 2017, Ascona, Switzerland (2017)
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Ghiringhelli, L. M.: Learning Descriptors from Materials-Science (Big) Data. Workshop, Beyond! Materials Design and Discovery, Kreuth, Germany (2016)
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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)
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Ghiringhelli, L. M.: Finding Descriptors for (Predicting the Plasticity of) Real Materials. Workshop on Big-Data-Driven Materials Science, Kreuth, Germany (2016)
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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)
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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)
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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)
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Ghiringhelli, L. M.: Causal Models in Big-Data Analytics for Novel Materials Discovery. 2016 MRS Spring Meeting and Exhibit, Phoenix, AZ, USA (2016)
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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)
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