Prof. Dr. Luca Ghiringhelli

Professur für Datenbasierte Materialmodellierung

Extrapolation to the complete basis-set limit in density-functional theory using statistical learning (2025) Speckhard DT, Carbogno C, Ghiringhelli LM, Lubeck S, Scheffler M, Draxl C Journal article Roadmap on data-centric materials science (2024) Bauer S, Benner P, Bereau T, Blum V, Boley M, Carbogno C, Catlow CA, et al. Journal article, Review article Discovering dynamic laws from observations: The case of self-propelled, interacting colloids (2024) Ruiz-Garcia M, Barriuso CMG, Alexander LC, Aarts DG, Ghiringhelli LM, Valeriani C Journal article How big is big data? (2024) Speckhard D, Bechtel T, Ghiringhelli L, Kuban M, Rigamonti S, Draxl C Journal article Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy (2023) Leitherer A, Yeo BC, Liebscher CH, Ghiringhelli LM Journal article Accelerating materials-space exploration for thermal insulators by mapping materials properties via artificial intelligence (2023) Purcell TA, Scheffler M, Ghiringhelli LM, Carbogno C Journal article Shared metadata for data-centric materials science (2023) Ghiringhelli LM, Baldauf C, Bereau T, Brockhauser S, Carbogno C, Chamanara J, Cozzini S, et al. Journal article FAIR Research Data With NOMAD FAIRmat's Distributed, Schema-based Research-data Infrastructure to Harmonize RDM in Materials Science (2023) Scheidgen M, Brückner S, Brockhauser S, Ghiringhelli LM, Dietrich F, Mansour AE, Marquez JA, et al. Conference contribution Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides (2022) Mazheika A, Wang YG, Valero R, Viñes F, Illas F, Ghiringhelli LM, Levchenko SV, Scheffler M Journal article Numerical quality control for DFT-based materials databases (2022) Carbogno C, Thygesen KS, Bieniek B, Draxl C, Ghiringhelli LM, Gulans A, Hofmann OT, et al. Journal article