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Luca M. Ghiringhelli

Humboldt-Universität zu Berlin · DE
Area of research
Materials Chemistry · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Machine Learning in Materials Science, Advanced Chemical Physics Studies, X-ray Diffraction in Crystallography, and Catalytic Processes in Materials Science.
h-index
36
citations
6,902
works
191
NIH funding
primary concept
email

Recent publications

Extrapolation to the complete basis-set limit in density-functional theory using statistical learning
Physical Review Materials 2025cited by 2position: middledoi
Roadmap on data-centric materials science
Modelling and Simulation in Materials Science and Engineering 2024cited by 18position: middledoi
Discovering dynamic laws from observations: The case of self-propelled, interacting colloids
Physical review. E 2024cited by 14position: middledoi
How big is big data?
Faraday Discussions 2024cited by 7position: middledoi
Shared metadata for data-centric materials science
Scientific Data 2023cited by 52position: firstdoi
Recent advances in the SISSO method and their implementation in the SISSO++ code
The Journal of Chemical Physics 2023cited by 41position: lastdoi
Accelerating materials-space exploration for thermal insulators by mapping materials properties via artificial intelligence
npj Computational Materials 2023cited by 34position: middledoi
Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy
npj Computational Materials 2023cited by 30position: lastdoi
Roadmap on Machine learning in electronic structure
Electronic Structure 2022cited by 184position: lastdoi
Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides
Nature Communications 2022cited by 132position: middledoi
The NOMAD Artificial-Intelligence Toolkit: turning materials-science data into knowledge and understanding
npj Computational Materials 2022cited by 71position: middledoi
Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence
ACS Catalysis 2022cited by 53position: middledoi
Numerical quality control for DFT-based materials databases
npj Computational Materials 2022cited by 26position: middledoi
Materials genes of heterogeneous catalysis from clean experiments and artificial intelligence
MRS Bulletin 2021cited by 61position: middledoi
Materials Genes of Heterogeneous Catalysis from Clean Experiments and Artificial Intelligence
ChemRxiv 2021cited by 6position: middledoi
Identifying domains of applicability of machine learning models for materials science
Nature Communications 2020cited by 143position: middledoi
New tolerance factor to predict the stability of perovskite oxides and halides
Science Advances 2019cited by 1,670position: middledoi
Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications
Inorganic Chemistry 2019cited by 36position: middledoi
Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats
npj Computational Materials 2017cited by 132position: firstdoi
Report on the sixth blind test of organic crystal structure prediction methods
Acta Crystallographica Section B Structural Science Crystal Engineering and Materials 2016cited by 601position: middledoi
Big Data of Materials Science: Critical Role of the Descriptor
Physical Review Letters 2015cited by 904position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Matthias Scheffler · University of Cologne13 papers (2015–2025)Claudia Draxl · Humboldt-Universität zu Berlin4 papers (2015–2025)Christian Carbogno · Fritz Haber Institute of the Max Planck Society4 papers (2017–2025)Sergey V. Levchenko · Skolkovo Institute of Science and Technology3 papers (2015–2022)Christopher Sutton · Georgia Institute of Technology3 papers (2019–2022)Lucas Foppa · Fritz Haber Institute of the Max Planck Society3 papers (2021–2022)Robert Schlögl · Fritz Haber Institute of the Max Planck Society2 papers (2021–2021)Spencer J. Carey · University of Arizona2 papers (2021–2021)Annette Trunschke · Fritz Haber Institute of the Max Planck Society2 papers (2021–2021) · 2 papers (2021–2021)Thomas A. R. Purcell · University of Arizona2 papers (2023–2023) · 2 papers (2021–2021)Andrey Tarasov · North Carolina State University2 papers (2021–2021) · 2 papers (2021–2021)Daniel T. Speckhard · Fritz Haber Institute of the Max Planck Society2 papers (2024–2025)S. Lübeck · Humboldt-Universität zu Berlin2 papers (2022–2025) · 2 papers (2021–2021) · 2 papers (2021–2021) · 2 papers (2021–2021) · 1 papers (2022–2022)