Publications of Christian Carbogno

Talk (91)

Thesis - Master (3)

2023
Thesis - Master
Fiebig, F.: Assessing Electronic Transport in Solid Materials via the Fluctuation-Dissipation Theorem. Technische Universität Berlin
2022
Thesis - Master
Zhu, X.: Ab Initio Green-Kubo Calculations for Strongly Anharmonic Solids: A comparative Benchmark of Lattice Thermal Conductivities. Technische Universität Darmstadt
2016
Thesis - Master
Ahmetcik, E.: Machine Learning of the Stability of Octet Binaries. Technische Universität Berlin

Working Paper (9)

2025
Working Paper
Müller, N.S., A.P. Fellows, B. John, A.E. Naclerio, C. Carbogno, K. Gharagozloo-Hubmann, D. Balaz, R.A. Kowalski, H. Heenen, C. Scheurer, K. Reuter, J.D. Caldwell, M. Wolf, P.R. Kidambi, M. Thämer and A. Paarmann: Full Crystallographic Imaging of Hexagonal Boron Nitride Monolayers with Phonon-Enhanced Sum-Frequency Microscopy., in press.
Working Paper
Stocco, E., C. Carbogno and M. Rossi: Electric-Field Driven Nuclear Dynamics of Liquids and Solids from a Multi-Valued Machine-Learned Dipolar Model., in press.
Working Paper
Carbogno, C., N. Rybin, S. Panahian Jand, A. Akkoush, Z. Yuan, M. Rossi and C.M. Acosta: Polarisation, Born Effective Charges, and Topological Invariants via a Berry-Phase Approach., in press.
2024
Working Paper
Quan, J., M.-Y. Zhang, M. Scheffler and C. Carbogno: Temperature-Dependent Electronic Spectral Functions From Band-Structure Unfolding., in press.
Working Paper
Kang, K., M. Scheffler, C. Carbogno and T. Purcell: Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials Through Active Learning., in press.
2023
Working Paper
Lu, S., L.M. Ghiringhelli, C. Carbogno, J. Wang and M. Scheffler: On the Uncertainty Estimates of Equivariant-Neural-Network-Ensembles Interatomic Potentials., in press.
Working Paper
Speckhard, D., 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.
2018
Working Paper
Acosta, C.M., 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.
2016
Working Paper
Ghiringhelli, L.M., 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).

Editorial (1)

2023
Editorial
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.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).
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