Publications of Luca M. Ghiringhelli

Ghiringhelli, L. M.: Interactive, Big-Data Driven Materials Science over the Web. CECAM Workshop, Synergy between quantum computing and high-performance computing, Zurich, Switzerland (2017)

Ghiringhelli, L. M.: Big-Data Driven Materials Science - Critical Role of the Descriptor. 19th Meeting of the Fachbeirat of the Fritz-Haber-Institut, Berlin, Germany (2017)

Ghiringhelli, L. M.: Introduction to the NOMAD Analytics Toolkit. NOMAD Summer - A Hands-on course on tools for novel materials discovery, Berlin, Germany (2017)

Ghiringhelli, L. M.: A Meta-Machine-Learning Method for Identifying Effective Descriptors of Materials Properties. Workshop I: Optimization and Optimal Control for Complex Energy and Property Landscapes, IPAM, Los Angeles, CA, USA (2017)

Ghiringhelli, L. M.: Searching for Materials Descriptors in Huge Feature Spaces With Compressed Sensing. CECAM Workshop, Big-Data driven Materials Science, Lausanne, Switzerland (2017)

Ghiringhelli, L. M.: The NOMAD European Centre of Excellence: Your Gateway to Materials-Science Data. E-CAM Scoping Workshop: From the Atom to the Material, Cambridge, UK (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.: 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.: 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.: 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 Chemistry, University of California, Davis, CA, USA (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.: 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.: Finding Descriptors for (Predicting the Plasticity of) Real Materials. Workshop on Big-Data-Driven Materials Science, 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.: Learning Descriptors from Materials-Science (Big) Data. Workshop, Beyond! Materials Design and Discovery, Kreuth, Germany (2016)

Ghiringhelli, L. M.: Learning Physically Meaningful Descriptors from Data in Materials Science. FHI-Workshop on Current Research Topics at the FHI, Potsdam, Germany (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)