Publications of Luca M. Ghiringhelli

Book Chapter (2)

2021
Book Chapter
Mazheika, Aliaksei, Sergey V. Levchenko, Luca M. Ghiringhelli and Matthias Scheffler: Materials for turning greenhouse gases into useful chemicals and fuels: a route identified by high-throughput calculations and artificial intelligence.
2014
Book Chapter
Ghiringhelli, Luca M.: Application of (Kohn-Sham) Density-Functional Theory to Real Materials.

Talk (124)

2023
Talk
Ghiringhelli, Luca M.: Deep Uncertainties.
(IOP-FHI workshop, Frontiers of Electronic Structure Theory and Materials Genomics , Beijing, China, Oct 2023).
Talk
Ghiringhelli, Luca M.: Global and Local Metadata for Computational Workflows: The Nomad Path to Fair Scientific Data (And Software).
(CECAM Flagship Workshop Proposal FAIR and TRUE Data Processing for Soft Matter Simulations, Mainz, Germany, Sep 2023).
Talk
Ghiringhelli, Luca M.: Introduction to Artificial Intelligence and Its Application to Materials Science.
(School on Artificial Intelligence for Materials Science in the Exascale Era, Platja d'Aro, Spain, May 2023).
Talk
Ghiringhelli, Luca M.: Artificial Intelligence Driven Search for Functional Materials: Symbolic Inference in Catalysis.
(Seminar, Materials Square, Online Event, Apr 2023).
Talk
Ghiringhelli, Luca M.: AI-Ready Materials-Science FAIR Data: Methods and Infrastructure.
(2nd MGE Workshop towards Materials Data Standards & CSTM FC97 Forum 2022, Online Event, Feb 2023).
2022
Talk
Ghiringhelli, Luca M.: FAIRmat: Concept and News.
(NOMAD Meeting, Revealing New and Novel Materials, Mechanisms, and Insights (a Perspective), Potsdam, Germany, Oct 2022).
Talk
Ghiringhelli, Luca M.: AI-Ready Materials-Science Fair Data: Methods and Infrastructure.
(Seminar, Science and Technology Facilities Council (STFC), Online Event, Nov 2022).
2021
Talk
Ghiringhelli, Luca M.: Clusters and Surfaces in Reactive Atmospheres at Realistic Conditions: Beyond the Static, Monostructure Description.
(APS March Meeting 2021, Online Event, Mar 2021).
Talk
Ghiringhelli, Luca M.: Ontologies in Computational Materials Science: The NOMAD Experience.
(Workshop, Ontologies for Materials-Databases Interoperability (OMDI2021), Online Event, Oct 2021).
Talk
Ghiringhelli, Luca M.: Symbolic Inference for Small-Data-Driven Materials Science.
(Workshop, Computational Spintronics Group, Trinity College Dublin, Dublin, Ireland, Aug 2021).
Talk
Ghiringhelli, Luca M.: Symbolic Inference in Materials Science: Towards Human-Friendly Artificial Intelligence.
(Physics Colloquium online, Theoretical Chemical Physics group, University of Luxembourg, Online Event, May 2021).
Talk
Ghiringhelli, Luca M.: Compressed Sensing Meets Symbolic Regression: Learning Interpretable Models.
(BIG DATA SUMMER – A summer school of the BiGmax Network, Online Event, Sep 2021).
Talk
Ghiringhelli, Luca M.: NOMAD Metainfo: FAIR (Meta)data for Materials Science.
(Workshop, Research-Data Management in Biophysics, European Biophysics Conference 2021, Online Event, Jul 2021).
Talk
Ghiringhelli, Luca M.: Data-Driven Materials Maps: Symbolic Inference Applied to Heterogeneous Catalysis.
(ACS Fall Meeting 2021, Online Event, Aug 2021).
Talk
Ghiringhelli, Luca M.: Towards Small-Data-Driven Materials Science.
(Autumn Meeting, EOSBF 2021, Brasilian Physical Society, Online Event, Jun 2021).
Talk
Ghiringhelli, Luca M.: FAIR Data and Metadata: The NOMAD Experience.
(Workshop, Research Data Management, Guidelines, and Standards, BATTERY 2030+, Online Event, Mar 2021).
Talk
Ghiringhelli, Luca M.: Bridging Scales With Symbolic Inference: The Case of Heterogeneous Catalysis.
(Symposium, Machine Learning: application to Chemical Reactions, Thomas Young Centre (TYC), Online Event, Feb 2021).
Talk
Ghiringhelli, Luca M.: Bridging Scales With Symbolic Inference: The Case of Heterogeneous Catalysis.
(Seminar, NOMAD Laboratory & MA Group, Online Event, Jan 2021).
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