Publications of Luca M. Ghiringhelli

Journal Article (7)

2019
Journal Article
Belviso, Florian, … Antonio Cammarata: Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications.
Journal Article
Sutton, Christopher A., … Matthias Scheffler: Crowd-sourcing materials-science challenges with the NOMAD 2018 Kaggle competition.
Journal Article
Zhou, Yuanyuan, … Luca M. Ghiringhelli: Determining surface phase diagrams including anharmonic effects.
2017
Journal Article
Bhattacharya, Saswata, … Sergey V. Levchenko: Theoretical evidence for unexpected O-rich phases at corners of MgO surfaces.
Journal Article
Boley, Mario, … Jilles Vreeken: Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery.
Journal Article
Ghiringhelli, Luca M., … Matthias Scheffler: Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats.
Journal Article
Seshaditya, A., … Luigi Delle Site: Levy-Lieb-Based Monte Carlo Study of the Dimensionality Behaviour of the Electronic Kinetic Functional.

Talk (5)

2019
Talk
Ghiringhelli, Luca M. et al.: Artificial Intelligence for Data-Driven Materials Science: Achievements and Perspectives. (Symposium IRIS 2019, Berlin, Germany, Oct 2019).
Talk
Ghiringhelli, Luca M. et al.: Metadata Towards FAIR Data Sharing for Data-Driven Materials Science: Achievements and Open Challenges. (BIG DATA SUMMER – A summer school of the BiGmax Network, Platja d'Aro, Spain, Sep 2019).
Talk
Ghiringhelli, Luca M. et al.: Artificial Intelligence for Data-Driven Materials Science: Achievements and Perspectives. (Max Planck Graduate Center for Quantum Materials, Stuttgart, Germany, Nov 2019).
Talk
Ghiringhelli, Luca M. et al.: Artificial Intelligence for Data-Driven Materials Science: Achievements and Perspectives. (Seminar, Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark, Nov 2019).
Talk
Ghiringhelli, Luca M. et al.: Beyond Just Fitting Numbers: Artificial Intelligence for Identifying Statistically Exceptional Materials. (2019 MRS Fall Meeting & Exhibit, Boston, MA, USA, Dec 2019).
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