Publikationen von Luca M. Ghiringhelli
Alle Typen
Zeitschriftenartikel (61)
1.
Zeitschriftenartikel
9, 179 (2023)
Automatic identification of crystal structures and interfaces via artificial-intelligence-based electron microscopy. npj Computational Materials 2.
Zeitschriftenartikel
159 (11), 114110 (2023)
Recent advances in the SISSO method and their implementation in the SISSO++ Code. The Journal of Chemical Physics 3.
Zeitschriftenartikel
9, 112 (2023)
Accelerating materials-space exploration for thermal insulators by mapping materials properties via artificial intelligence. npj Computational Materials 4.
Zeitschriftenartikel
8, 250 (2022)
The NOMAD Artificial-Intelligence Toolkit: Turning materials-science data into knowledge and understanding. npj Computational Materials 5.
Zeitschriftenartikel
TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions. Data Mining and Knowledge Discovery (5), S. 1815 - 1864 (2022)
6.
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4 (2), 023004 (2022)
Roadmap on Machine learning in electronic structure. Electronic Structure 7.
Zeitschriftenartikel
129 (5), 0545301 (2022)
Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated with Bulk Properties of Perovskites. Physical Review Letters 8.
Zeitschriftenartikel
128 (24), 246101 (2022)
Ab Initio Approach for Thermodynamic Surface Phases with Full Consideration of Anharmonic Effects: The Example of Hydrogen at Si(100). Physical Review Letters 9.
Zeitschriftenartikel
8, 69 (2022)
Numerical quality control for DFT-based materials databases. npj Computational Materials 10.
Zeitschriftenartikel
8, 70 (2022)
Finding predictive models for singlet fission by machine learning. npj Computational Materials 11.
Zeitschriftenartikel
7 (71), 3960 (2022)
SISSO++: A C++ Implementation of the Sure-Independence Screening and Sparisifying Operator Approach. The Journal of Open Source Software 12.
Zeitschriftenartikel
12 (4), S. 2233 - 2232 (2022)
Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence. ACS Catalysis 13.
Zeitschriftenartikel
65 (1-4), S. 196 - 206 (2022)
Identifying Outstanding Transition‑Metal‑Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery. Topics in Catalysis 14.
Zeitschriftenartikel
65 (1-4), S. 207 - 207 (2022)
Correction to: Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery. Topics in Catalysis 15.
Zeitschriftenartikel
13, 419 (2022)
Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides. Nature Communications 16.
Zeitschriftenartikel
46 (11), S. 1016 - 1026 (2021)
Materials genes of heterogeneous catalysis from clean experiments and artificial intelligence. MRS Bulletin 17.
Zeitschriftenartikel
12 (1), 6234 (2021)
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. Nature Communications 18.
Zeitschriftenartikel
3 (1), S. 1 - 12 (2021)
Trends in Atomistic Simulation Software Usage [Articlev1.0]. Living Journal of Computational Molecular Science 19.
Zeitschriftenartikel
155 (3), 039901 (2021)
Publisher's Note: "Data-driven equation for drug-membrane permeability across drugs and membranes" [J. J. chem. Phys. 154, 244114 (2021)]. The Journal of Chemical Physics 20.
Zeitschriftenartikel
154 (24), 244114 (2021)
Data-driven equation for drug-membrane permeability across drugs and membranes. The Journal of Chemical Physics