Publikationen von Luca M. Ghiringhelli

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)

Ghiringhelli, L. M.: Novel Materials Discovery: Big-Data-Analytics Methods and Infrastructure for Building Maps of Materials. DPG-Frühjahrstagung und EPS-CMD27, Symposium Information Driven Materials Research, Berlin, Germany (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.: Data-Driven Materials Science: Critical Role of the Descriptor. Data Science Workshop, Scuola Internazionale Superiore di Studi Avanzati, SISSA, Trieste, Italy (2018)

Ghiringhelli, L. M.: Big-Data-Driven Materials Science: Critical Role of the Descriptor. Colloquium, Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany (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 Driven Materials Science - Critical Role of the Descriptor. 19th Meeting of the Fachbeirat of the Fritz-Haber-Institut, 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.: Introduction to the NOMAD Analytics Toolkit. NOMAD Summer - A Hands-on course on tools for novel materials discovery, Berlin, Germany (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)

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.: 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)

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)