Luca M. Ghiringhelli

Friedrich-Alexander-Universität Erlangen-Nürnberg — Germany

Materials Science · Physical Sciences

36h-index6.6kcitations189works3.12yr avg
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Research Topics

Machine Learning in Materials Science(82), Advanced Chemical Physics Studies(30), Catalytic Processes in Materials Science(27), X-ray Diffraction in Crystallography(27), Electron and X-Ray Spectroscopy Techniques(23)

Publications189 total

A high-performance and portable implementation of the SISSO method for CPUs and GPUs
Machine Learning Science and Technology·2025· 1 citedOpen Access
A high-performance and portable implementation of the SISSO method for CPUs and GPUs
arXiv (Cornell University)·2025Open Access
Extrapolation to the complete basis-set limit in density-functional theory using statistical learning
Physical Review Materials·2025· 2 citedOpen Access
Roadmap on Advancements of the FHI-aims Software Package
JuSER Publikationsportal·2025Open Access
How big is big data?
Faraday Discussions·2024· 6 citedOpen Access
Discovering dynamic laws from observations: The case of self-propelled, interacting colloids
Physical review. E·2024· 13 cited
How big is Big Data?
arXiv (Cornell University)·2024Open Access
Roadmap on data-centric materials science
Modelling and Simulation in Materials Science and Engineering·2024· 17 citedOpen Access
Combining genetic algorithm and compressed sensing for features and operators selection in symbolic regression
arXiv (Cornell University)·2024Open Access
Roadmap on Data-Centric Materials Science
2024· 2 citedOpen Access
Roadmap on Data-Centric Materials Science
2024· 1 citedOpen Access
Roadmap on Data-Centric Materials Science
2024· 1 citedOpen Access
Roadmap on Data-Centric Materials Science
arXiv (Cornell University)·2024Open Access
Unsupervised and supervised machine learning for feature classification in atomic resolution images
BIO Web of Conferences·2024Open Access
NOMAD: A distributed web-based platform for managingmaterials science research data
The Journal of Open Source Software·2023· 121 citedOpen Access
Latent Point Collapse on a Low Dimensional Embedding in Deep Neural Network Classifiers
arXiv (Cornell University)·2023Open Access
Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy
npj Computational Materials·2023· 28 citedOpen Access
Recent advances in the SISSO method and their implementation in the SISSO++ code
The Journal of Chemical Physics·2023· 36 citedOpen Access
Shared metadata for data-centric materials science
Scientific Data·2023· 43 citedOpen Access
FAIR Research Data With NOMAD
Proceedings of the Conference on Research Data Infrastructure·2023· 2 citedOpen Access
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Frequent Co-authors

Matthias Scheffler(24), Sergey V. Levchenko(8), Evert Jan Meijer(7), Luigi Delle Site(7), Saswata Bhattacharya(6), A. Fasolino(6), Christian Carbogno(6), Claudia Draxl(5), J. Los(5), Christopher Sutton(4), Daan Frenkel(4), Lucas Foppa(4), Noa Marom(3), Mario Boley(3), Markus Scheidgen(3), Jilles Vreeken(3), Ádám Fekete(3), Thomas A. R. Purcell(3), Bryan R. Goldsmith(2), Runhai Ouyang(2)