Publications of Luca M. Ghiringhelli

Sutton, C.A., M. Boley, L.M. Ghiringhelli, M. Rupp, J. Vreeken and M. Scheffler: Identifying domains of applicability of machine learning models for materials science. Nature Communications 11, 4428 (2020).

Ouyang, R., E. Ahmetcik, C. Carbogno, M. Scheffler and L.M. Ghiringhelli: Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO. JPhys Materials 2 (2), 024002 (2019).

Bartel, C.J., C.A. Sutton, B.R. Goldsmith, R. Ouyang, C.B. Musgrave, L.M. Ghiringhelli and M. Scheffler: New tolerance factor to predict the stability of perovskite oxides and halides. Science Advances 5 (2), eaav0693 (2019).

Guedes-Sobrinho, D., W. Wang, I.P. Hamilton, J.L.F. Da Silva and L.M. Ghiringhelli: (Meta-)stability and Core–Shell Dynamics of Gold Nanoclusters at Finite Temperature. The Journal of Physical Chemistry Letters 10, 685–692 (2019).

Zhang, I.Y., A.J. Logsdail, X. Ren, S.V. Levchenko, L.M. Ghiringhelli and M. Scheffler: Main-group test set for materials science and engineering with user-friendly graphical tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations. New Journal of Physics 21 (1), 013025 (2019).

Goldsmith, B., J. Florian, J.-X. Liu, P. Grüne, J.T. Lyon, D.M. Rayner, A. Fielicke, M. Scheffler and L.M. Ghiringhelli: Two-to-three dimensional transition in neutral gold clusters: The crucial role of van der Waals interactions and temperature. Physical Review Materials 3 (1), 016002 (2019).

Ouyang, R., S. Curtarolo, E. Ahmetcik, M. Scheffler and L.M. Ghiringhelli: SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials 2 (08), 083802 (2018).

Saini, S., D. Sarker, P. Basera, S.V. Levchenko, L.M. Ghiringhelli and S. Bhattacharya: Structure and Electronic Properties of Transition-Metal/Mg Bimetallic Clusters at Realistic Temperatures and Oxygen Partial Pressures. The Journal of Physical Chemistry C 122 (29), 16788–16794 (2018).

Ziletti, A., D. Kumar, M. Scheffler and L.M. Ghiringhelli: Insightful classification of crystal structures using deep learning. Nature Communications 9, 2775 (2018).

Curtis, F., X. Li, T. Rose, Á. Vázquez-Mayagoitia, S. Bhattacharya, L.M. Ghiringhelli and N. Marom: GAtor: A First-Principles Genetic Algorithm for Molecular Crystal Structure Prediction. Journal of Chemical Theory and Computation 14 (4), 2246–2264 (2018).

Bhattacharya, S., D. Berger, K. Reuter, L.M. Ghiringhelli and S.V. Levchenko: Theoretical evidence for unexpected O-rich phases at corners of MgO surfaces. Physical Review Materials 01 (07), 071601 (2017).

Ghiringhelli, L.M., C. Carbogno, S.V. Levchenko, F.R. Mohamed, G. Huhs, M. Lüders, M. Oliveira and M. Scheffler: Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats. npj Computational Materials 3, 46 (2017).

Yu, C., W. Harbich, L. Sementa, L.M. Ghiringhelli, E. Aprá, M. Stener, A. Fortunelli and H. Brune: Erratum: “Intense fluorescence of Au₂₀” [J. Chem. Phys147, 074301 (2017)]. The Journal of Chemical Physics 147 (9), 099901 (2017).

Yu, C., W. Harbich, L. Sementa, L.M. Ghiringhelli, E. Apra, M. Stener, A. Fortunelli and H. Brune: Intense fluorescence of Au₂₀. The Journal of Chemical Physics 147 (7), 074301 (2017).

Seshaditya, A., L.M. Ghiringhelli and L. Delle Site: Levy-Lieb-Based Monte Carlo Study of the Dimensionality Behaviour of the Electronic Kinetic Functional. Computation 5 (2), 30 (2017).

Ghiringhelli, L.M., J. Vybiral, E. Ahmetcik, R. Ouyang, S.V. Levchenko, C. Draxl and M. Scheffler: Learning physical descriptors for materials science by compressed sensing. New Journal of Physics 19 (2), 023017 (2017).

Goldsmith, B., M. Boley, J. Vreeken, M. Scheffler and L.M. Ghiringhelli: Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics 19 (1), 013031 (2017).

Boley, M., B. Goldsmith, L.M. Ghiringhelli and J. Vreeken: Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. Data Mining and Knowledge Discovery 31 (5), 1391–1418 (2017).

Reilly, A.M., R.I. Cooper, C.S. Adjiman, S. Bhattacharya, A.D. Boese, J.G. Brandenburg, P.J. Bygrave, R. Bylsma, J.E. Campbell, R. Car, D.H. Case, R. Chadha, J.C. Cole, K. Cosburn, H.M. Cuppen, F. Curtis, G.M. Day, R.A. DiStasio Jr, A. Dzyabchenko, B.P. van Eijck, D.M. Elking, J.A. van den Ende, J.C. Facelli, M.B. Ferraro, L. Fusti-Molnar, C.-A. Gatsiou, T.S. Gee, R. de Gelder, L.M. Ghiringhelli, H. Goto, S. Grimme, R. Guo, D.W.M. Hofmann, J. Hoja, R.K. Hylton, L. Iuzzolino, W. Jankiewicz, D.T. de Jong, J. Kendrick, N.J.J. de Klerk, H.-Y. Ko, L.N. Kuleshova, X. Li, S. Lohani, F.J.J. Leusen, A.M. Lund, J. Lv, Y. Ma, N. Marom, A.E. Masunov, P. McCabe, D.P. McMahon, H. Meekes, M.P. Metz, A.J. Misquitta, S. Mohamed, B. Monserrat, R.J. Needs, M.A. Neumann, J. Nyman, S. Obata, H. Oberhofer, A.R. Oganov, A.M. Orendt, G.I. Pagola, C.C. Pantelides, C.J. Pickard, R. Podeszwa, L.S. Price, S.L. Price, A. Pulido, M.G. Read, K. Reuter, E. Schneider, C. Schober, G.P. Shields, P. Singh, I.J. Sugden, K. Szalewicz, C.R. Taylor, A. Tkatchenko, M.E. Tuckerman, F. Vacarro, M. Vasileiadis, A. Vazquez-Mayagoitia, L. Vogt, Y. Wang, R.E. Watson, G.A. de Wijs, J. Yang, Q. Zhu and C.R. Groom: Report on the sixth blind test of organic crystal structure prediction methods. Acta Crystallographica Section B 72 (4), 439–459 (2016).

Bhattacharya, S., B.H. Sonin, C.J. Jumonville, L.M. Ghiringhelli and N. Marom: Computational design of nanoclusters by property-based genetic algorithms: Tuning the electronic properties of (TiO₂ )_n clusters. Physical Review B 91 (24), 241115(R) (2015).