Publikationen von Christian Carbogno

Kang, K.; Scheffler, M.; Carbogno, C.; Purcell, T.: Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials Through Active Learning. (2024)

Lu, S.; Ghiringhelli, L. M.; Carbogno, C.; Wang, J.; Scheffler, M.: On the Uncertainty Estimates of Equivariant-Neural-Network-Ensembles Interatomic Potentials. (2023)

Speckhard, D.; Carbogno, C.; Ghiringhelli, L. M.; Lubeck, S.; Scheffler, M.; Draxl, C.: Extrapolation to complete basis-set limit in density-functional theory by quantile random-forest models. (2023)

Acosta, C. M.; Ouyang, R.; Fazzio, A.; Scheffler, M.; Ghiringhelli, L. M.; Carbogno, C.: Analysis of Topological Transitions in Two-dimensional Materials by Compressed Sensing. (2018)

Ghiringhelli, L. M.; Carbogno, C.; Levchenko, S. V.; Mohamed, F. R.; Huhs, G.; Lüders, M.; Oliveira, M.; Scheffler, M.: Towards a Common Format for Computational Materials Science Data. Psi-k Scientific Highlight Of The Month (131) S. 1 - 16 (2016), 16 S.

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