Publikationen von Christian Carbogno

Zhu, X.: Ab Initio Green-Kubo Calculations for Strongly Anharmonic Solids: A comparative Benchmark of Lattice Thermal Conductivities. Technische Universität Darmstadt

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

Kokott, S., F. Merz, Y. Yao, C. Carbogno, M. Rossi, V. Havu, M. Rampp, M. Scheffler und V. Blum: Efficient All-electron Hybrid Density Functionals for Atomistic Simulations Beyond 10,000 Atoms., im Druck.

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.

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).