Publications of Luca M. Ghiringhelli
All genres
Journal Article (14)
2023
Journal Article
9, 179 (2023)
Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy. npj Computational Materials
Journal Article
159 (11), 114110 (2023)
Recent advances in the SISSO method and their implementation in the SISSO++ Code. The Journal of Chemical Physics 2022
Journal Article
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions. Data Mining and Knowledge Discovery (5), pp. 1815 - 1864 (2022)
2021
Journal Article
154 (24), 244114 (2021)
Data-driven equation for drug-membrane permeability across drugs and membranes. The Journal of Chemical Physics
Journal Article
12 (1), 6234 (2021)
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. Nature Communications 2020
Journal Article
4 (3), 034204 (2020)
Artificial intelligence for high-throughput discovery of topological insulators: The example of alloyed tetradymites. Physical Review Materials
Journal Article
11, 4428 (2020)
Identifying domains of applicability of machine learning models for materials science. Nature Communications 2019
Journal Article
5 (2), eaav0693 (2019)
New tolerance factor to predict the stability of perovskite oxides and halides. Science Advances
Journal Article
3 (1), 016002 (2019)
Two-to-three dimensional transition in neutral gold clusters: The crucial role of van der Waals interactions and temperature. Physical Review Materials
Journal Article
2 (2), 024002 (2019)
Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO. JPhys Materials 2018
Journal Article
2 (08), 083802 (2018)
SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials
Journal Article
9, 2775 (2018)
Insightful classification of crystal structures using deep learning. Nature Communications 2017
Journal Article
31 (5), pp. 1391 - 1418 (2017)
Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. Data Mining and Knowledge Discovery
Journal Article
19 (1), 013031 (2017)
Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics Talk (2)
2019
Talk
Compressed Sensing for Data-Driven Materials Science. BiGmax Workshop 2019 on Big-data-driven Materials Science, Dresden, Germany (2019)
2018
Talk
Discovering Interpretable Descriptors Through Compressed Sensing. BiGmax Workshop 2018 on Big-Data-Driven Materials Science, Kloster Irsee, Irsee, Germany (2018)