Publikationen von Luca M. Ghiringhelli

Ghiringhelli, L.M.:

Ghiringhelli, L.M.:

Ghiringhelli, L.M.:

Ghiringhelli, L.M.:

Ghiringhelli, L.M.:

Ghiringhelli, L.M.:

Ghiringhelli, L.M.:

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

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

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

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

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

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

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

Ghiringhelli, L.M., 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. 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 und M. Scheffler: Shared Metadata for Data-Centric Materials Science. Scientific Data 10, 626 (2023).

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

Bauer, S., P. Benner, T. Bereau, V. Blum, M. Boley, C. Carbogno, C.R.A. Catlow, G. Dehm, S. Eibl, R. Ernstorfer, A. Fekete, L. Foppa, P. Fratzl, C. Freysoldt, B. Gault, L.M. Ghiringhelli, S.K. Giri, A. Gladyshev, P. Goyal, J. Hattrick-Simpers, L. Kabalan, P. Karpov, M.S. Khorrami, C. Koch, S. Kokott, T. Kosch, I. Kowalec, K. Kremer, A. Leitherer, Y. Li, C.H. Liebscher, A.J. Logsdail, Z. Lu, F. Luong, A. Marek, F. Merz, J.R. Mianroodi, J. Neugebauer, T.A.R. Purcell, D. Raabe, M. Rampp, M. Rossi, J.-M. Rost, U. Saalmann, A. Saxena, L. Sbailo, M. Scheffler, M. Scheidgen, M. Schloz, D.F. Schmidt, S. Teshuva, A. Trunschke, Y. Wei, G. Weikum, R.P. Xian, Y. Yao und M. Zhao: Roadmap on Data-Centric Materials Science., im Druck.