Publications of Matthias Scheffler
All genres
Journal Article (600)
2020
Journal Article
C.A. Sutton, , L.M. Ghiringhelli, M. Rupp, and M. Scheffler: Identifying domains of applicability of machine learning models for materials science. Nature Communications 11, 4428 (2020).
Journal Article
F. Knoop, T. Purcell, M. Scheffler and C. Carbogno: Anharmonicity measure for materials. Physical Review Materials 4 (8), 083809 (2020).
Journal Article
M. Zacharias, M. Scheffler and C. Carbogno: Fully anharmonic nonperturbative theory of vibronically renormalized electronic band structures. Physical Review B 102 (4), 045126 (2020).
Journal Article
G. Cao, R. Ouyang, L.M. Ghiringhelli, M. Scheffler, , C. Carbogno and : Artificial intelligence for high-throughput discovery of topological insulators: The example of alloyed tetradymites. Physical Review Materials 4 (3), 034204 (2020).
Journal Article
A. Trunschke, C. Draxl, R. Schlögl and M. Scheffler: Digitale Katalyse. Jahrbuch / Max-Planck-Gesellschaft 2019, 11659628 (2020).
2019
Journal Article
H. Shang, , , , , C. Carbogno, M. Scheffler and : Electron-phonon coupling in d-electron solids: A temperature-dependent study of rutile TiO2 by first-principles theory and two-photon photoemission. Physical Review Research 1 (3), 033153 (2019).
Journal Article
M.-O. Lenz, T. Purcell, , , M. Scheffler and C. Carbogno: Parametrically constrained geometry relaxations for high-throughput materials science. npj Computational Materials 5, 123 (2019).
Journal Article
C.A. Sutton, L.M. Ghiringhelli, , , , , , X. Liu, A. Ziletti and M. Scheffler: Crowd-sourcing materials-science challenges with the NOMAD 2018 Kaggle competition. npj Computational Materials 5, 111 (2019).
Journal Article
Y. Zhou, M. Scheffler and L.M. Ghiringhelli: Determining surface phase diagrams including anharmonic effects. Physical Review B 100 (17), 174106 (2019).
Journal Article
T. Shen, , I.Y. Zhang and M. Scheffler: Massive-parallel Implementation of the Resolution-of-Identity Coupled-cluster Approaches in the Numeric Atom-centered Orbital Framework for Molecular Systems. Journal of Chemical Theory and Computation 15 (9), 4721–4734 (2019).
Journal Article
C. Carbogno, , , , , , , , , , , , , , , , , , , , K. Reuter, , , , M. Scheffler, , , D. Simoes Brambila, and : Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects. , , , Japan Journal of Industrial and Applied Mathematics 36 (2), 699–717 (2019).
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H.-H. Kowalski, C. Carbogno, , K. Reuter, M. Scheffler and : Optimizations of the eigensolvers in the ELPA library. , , , Parallel Computing 85, 167–177 (2019).
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C. Draxl and M. Scheffler: The NOMAD Laboratory: From Data Sharing to Artificial Intelligence. JPhys Materials 2 (3), 036001 (2019).
Journal Article
S.V. Levchenko and M. Scheffler: Compact representation of one-particle wavefunctions and scalar fields obtained from electronic-structure calculations. Computer Physics Communications 237, 42–46 (2019).
Journal Article
H. Wang, S.V. Levchenko, , , M. Scheffler and M. Rossi: Modulation of the Work Function by the Atomic Structure of Strong Organic Electron Acceptors on H‐Si(111). Advanced Electronic Materials 5 (5), 1800891 (2019).
Journal Article
R. Ouyang, E. Ahmetcik, C. Carbogno, M. Scheffler and L.M. Ghiringhelli: Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO. JPhys Materials 2 (2), 024002 (2019).
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S.V. Levchenko, M. Scheffler and K. Reuter: Beyond Scaling Relations for the Description of Catalytic Materials. , ACS Catalysis 9 (4), 2752–2759 (2019).
Journal Article
C.A. Sutton, , R. Ouyang, , L.M. Ghiringhelli and M. Scheffler: New tolerance factor to predict the stability of perovskite oxides and halides. , Science Advances 5 (2), eaav0693 (2019).
Journal Article
S.V. Levchenko, , , , , , , , M. Scheffler, and : Step-flow growth in homoepitaxy of β-Ga2O3 (100)-The influence of the miscut direction and faceting. , , , , , APL Materials 7 (2), 022515 (2019).
Journal Article
I.Y. Zhang, , , S.V. Levchenko, L.M. Ghiringhelli and M. Scheffler: Main-group test set for materials science and engineering with user-friendly graphical tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations. New Journal of Physics 21 (1), 013025 (2019).