Publications of Matthias Scheffler

Journal Article (609)

2023
Journal Article
Langer, M. F.; Knoop, F.; Carbogno, C.; Scheffler, M.; Rupp, M.: Heat flux for semilocal machine-learning potentials. Physical Review B 108 (10), L100302 (2023)
Journal Article
Purcell, T.; Scheffler, M.; Ghiringhelli, L. M.; Carbogno, C.: Accelerating materials-space exploration for thermal insulators by mapping materials properties via artificial intelligence. npj Computational Materials 9, 112 (2023)
Journal Article
Knoop, F.; Purcell, T.; Scheffler, M.; Carbogno, C.: Anharmonicity in Thermal Insulators: An Analysis from First Principles. Physical Review Letters 130 (23), 236301 (2023)
Journal Article
Lu, H.; Koknat, G.; Yao, Y.; Hao, J.; Qin, X.; Xiao, C.; Song, R.; Merz, F.; Rampp, M.; Kokott, S. et al.: Electronic Impurity Doping of a 2D Hybrid Lead Iodide Perovskite by Bi and Sn. PRX Energy 2 (2), 023010 (2023)
Journal Article
Knoop, F.; Scheffler, M.; Carbogno, C.: Ab initio Green-Kubo simulations of heat transport in solids: Method and implementation. Physical Review B 107 (22), 224304 (2023)
Journal Article
Foppa, L.; Rüther, F.; Geske, M.; Koch, G.; Girgsdies, F.; Kube, P.; Carey, S.; Hävecker, M.; Timpe, O.; Tarasov, A. et al.: Data-Centric Heterogeneous Catalysis: Identifying Rules and Materials Genes of Alkane Selective Oxidation. Journal of the American Chemical Society 145 (6), pp. 3427 - 3442 (2023)
2022
Journal Article
Teale, A. M.; Helgaker, T.; Savin, A.; Adamo, C.; Aradi, B.; Arbuznikov, A. V.; Ayers, P. W.; Baerends, E. J.; Barone, V.; Calaminici, P. et al.: DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science. Physical Chemistry Chemical Physics 24 (47), pp. 28700 - 28781 (2022)
Journal Article
Bowker, M.; DeBeer, S.; Dummer, N. F.; Hutchings, G. J.; Scheffler, M.; Schüth, F.; Taylor, S. H.; Tüysüz, H.: Advancing Critical Chemical Processes for a Sustainable Future: Challenges for Industry and the Max Planck-Cardiff Centre on the Fundamentals of Heterogeneous Catalysis (FUNCAT). Angewandte Chemie International Edition 61 (50), e202209016 (2022)
Journal Article
Bowker, M.; DeBeer, S.; Dummer, N. F.; Hutchings, G. J.; Scheffler, M.; Schüth, F.; Taylor, S. H.; Tüysüz, H.: Advancing Critical Chemical Processes for a Sustainable Future: Challenges for Industry and the Max Planck-Cardiff Centre on the Fundamentals of Heterogeneous Catalysis (FUNCAT). Angewandte Chemie 134 (50), e202209016 (2022)
Journal Article
Sbailò, L.; Fekete, Á.; Ghiringhelli, L. M.; Scheffler, M.: The NOMAD Artificial-Intelligence Toolkit: Turning materials-science data into knowledge and understanding. npj Computational Materials 8, 250 (2022)
Journal Article
Regler, B.; Scheffler, M.; Ghiringhelli, L. M.: TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions. Data Mining and Knowledge Discovery 36 (5), pp. 1815 - 1864 (2022)
Journal Article
Kulik, H. J.; Hammerschmidt, T.; Schmidt, J.; Botti, S.; Marques, M. A. L.; Boley, M.; Scheffler, M.; Todorović, M.; Rinke, P.; Oses, C. et al.: Roadmap on Machine learning in electronic structure. Electronic Structure 4 (2), 023004 (2022)
Journal Article
Foppa, L.; Purcell, T.; Levchenko, S. V.; Scheffler, M.; Ghiringhelli, L. M.: Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated with Bulk Properties of Perovskites. Physical Review Letters 129 (5), 0545301 (2022)
Journal Article
Moerman, E.; Hummel, F.; Grüneis, A.; Irmler, A.; Scheffler, M.: Interface to high-performance periodic coupled-cluster theory calculations with atom-centered, localized basis functions. The Journal of Open Source Software 7 (4), 4040 (2022)
Journal Article
Zhou, Y.; Zhu, C.; Scheffler, M.; Ghiringhelli, L. M.: Ab Initio Approach for Thermodynamic Surface Phases with Full Consideration of Anharmonic Effects: The Example of Hydrogen at Si(100). Physical Review Letters 128 (24), 246101 (2022)
Journal Article
Scheffler, M.; Aeschlimann, M.; Albrecht, M.; Bereau, T.; Bungartz, H.-J.; Felser, C.; Greiner, M.; Groß, A.; Koch, C. T.; Kremer, K. et al.: FAIR data enabling new horizons for materials research. Nature 604 (7907), pp. 635 - 642 (2022)
Journal Article
Carbogno, C.; Thygesen, K. S.; Bieniek, B.; Draxl, C.; Ghiringhelli, L. M.; Gulans, A.; Hofmann, O. T.; Jacobsen, K. W.; Lubeck, S.; Mortensen, J. J. et al.: Numerical quality control for DFT-based materials databases. npj Computational Materials 8, 69 (2022)
Journal Article
Purcell, T.; Scheffler, M.; Carbogno, C.; Ghiringhelli, L. M.: SISSO++: A C++ Implementation of the Sure-Independence Screening and Sparisifying Operator Approach. The Journal of Open Source Software 7 (71), 3960 (2022)
Journal Article
Foppa, L.; Sutton, C. A.; Ghiringhelli, L. M.; De, S.; Löser, P.; Schunk, S. A.; Schäfer, A.; Scheffler, M.: Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence. ACS Catalysis 12 (4), pp. 2233 - 2232 (2022)
Journal Article
Mazheika, A.; Wang, Y.; Valero, R.; Viñes, F.; Illas, F.; Ghiringhelli, L. M.; Levchenko, S. V.; Scheffler, M.: Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides. Nature Communications 13, 419 (2022)