Publications of Luca M. Ghiringhelli

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

L.M. Ghiringhelli:

E. Ahmetcik: Machine Learning of the Stability of Octet Binaries. Technische Universität Berlin

S. Lu, L.M. Ghiringhelli, C. Carbogno, J. Wang and M. Scheffler: On the Uncertainty Estimates of Equivariant-Neural-Network-Ensembles Interatomic Potentials., in press.

D. Speckhard, C. Carbogno, L.M. Ghiringhelli, S. Lubeck, M. Scheffler and C. Draxl: Extrapolation to complete basis-set limit in density-functional theory by quantile random-forest models., in press.

L.M. Ghiringhelli: Interpretability of machine-learning models in physical sciences., in press.

A. Mazheika, Y. Wang, R. Valero, L.M. Ghiringhelli, F. Vines, F. Illas, S.V. Levchenko and M. Scheffler: Ab initio data-analytics study of carbon-dioxide activation on semiconductor oxide surfaces., in press.

C.M. Acosta, R. Ouyang, A. Fazzio, M. Scheffler, L.M. Ghiringhelli and C. Carbogno: Analysis of Topological Transitions in Two-dimensional Materials by Compressed Sensing., in press.

L.M. Ghiringhelli, C. Carbogno, S.V. Levchenko, F.R. Mohamed, G. Huhs, M. Lüders, M. Oliveira and M. Scheffler: Towards a Common Format for Computational Materials Science Data. (131), 1–16 (2016).

L.M. Ghiringhelli, C. Baldauf, T. Bereau, S. Brockhauser, C. Carbogno, J. Chamanara, S. Cozzini, S. Curtarolo, C. Draxl, S. Dwaraknath, Á. Fekete, J. Kermode, C.T. Koch, M. Kühbach, A.N. Ladines, P. Lambrix, M.-O.L. Himmer, S.V. Levchenko, M. Oliveira, A. Michalchuk, R. Miller, B. Onat, P. Pavone, G. Pizzi, B. Regler, G.-M. Rignanese, J. Schaarschmidt, M. Scheidgen, A. Schneidewind, T. Sheveleva, C. Su, D. Usvyat, O. Valsson, C. Wöll and M. Scheffler: Shared Metadata for Data-Centric Materials Science. Scientific Data 10, 626 (2023).

L.M. Ghiringhelli: An AI-toolkit to develop and share research into new material. Nature Reviews Physics 3, 724 (2021).