Publications of Matthias Scheffler

Shen, T., Z. Zhu, 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).

Sutton, C.A., L.M. Ghiringhelli, T. Yamamoto, Y. Lysogorskiy, L. Blumenthal, T. Hammerschmidt, J.R. Golebiowski, X. Liu, A. Ziletti and M. Scheffler: Crowd-sourcing materials-science challenges with the NOMAD 2018 Kaggle competition. npj Computational Materials 5, 111 (2019).

Wang, H., S.V. Levchenko, T. Schultz, N. Koch, 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).

Zhang, I.Y., A.J. Logsdail, X. Ren, 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).

Zhou, Y., M. Scheffler and L.M. Ghiringhelli: Determining surface phase diagrams including anharmonic effects. Physical Review B 100 (17), 174106 (2019).

Draxl, C. and M. Scheffler: NOMAD: The FAIR concept for big data-driven materials science. MRS Bulletin 43 (9), 676–682 (2018).

Kokott, S., S.V. Levchenko, P. Rinke and M. Scheffler: First-principles supercell calculations of small polarons with proper account for long-range polarization effects. New Journal of Physics 20 (3), 033023 (2018).

Oses, C., E. Gossett, D. Hicks, F. Rose, M.J. Mehl, E. Perim, I. Takeuchi, S. Sanvito, M. Scheffler, Y. Lederer, O. Levy, C. Toher and S. Curtarolo: AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. Journal of Chemical Information and Modeling 58 (12), 2477–2490 (2018).

Ouyang, R., S. Curtarolo, E. Ahmetcik, M. Scheffler and L.M. Ghiringhelli: SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials 2 (08), 083802 (2018).

Rasim, K., R. Ramlau, A. Leithe-Jasper, T. Mori, U. Burkhardt, H. Borrmann, W. Schnelle, C. Carbogno, M. Scheffler and Y. Grin: Local Atomic Arrangements and Band Structure of Boron Carbide. Angewandte Chemie International Edition 57 (21), 6130–6135 (2018).

Scheffler, M. and C. Draxl: Ein FAIRes Datenkonzept der von Big Data gesteuerten Materialwissenschaften. Jahrbuch / Max-Planck-Gesellschaft 12090594 (2018).

Shang, H., N. Raimbault, P. Rinke, M. Scheffler, M. Rossi and C. Carbogno: All-electron, real-space perturbation theory for homogeneous electric fields: theory, implementation, and application within DFT. New Journal of Physics 20 (7), 073040 (2018).

Zhang, G.-X., A. Reilly, A. Tkatchenko and M. Scheffler: Performance of various density-functional approximations for cohesive properties of 64 bulk solids. New Journal of Physics 20 (6), 063020 (2018).

Ziletti, A., D. Kumar, M. Scheffler and L.M. Ghiringhelli: Insightful classification of crystal structures using deep learning. Nature Communications 9, 2775 (2018).

Bhattacharya, A., C. Carbogno, B. Böhme, M. Baitinger, J. Grin and M. Scheffler: Formation of Vacancies in Si- and Ge-based Clathrates: Role of Electron Localization and Symmetry Breaking. Physical Review Letters 118 (23), 236401 (2017).

Carbogno, C., R. Ramprasad and M. Scheffler: Ab Initio Green-Kubo Approach for the Thermal Conductivity of Solids. Physical Review Letters 118 (17), 175901 (2017).

Draxl, C., F. Illas and M. Scheffler: Computational materials: Open data settled in materials theory. Nature 548 (7669), 523–523 (2017).

Ghiringhelli, L.M., C. Carbogno, S.V. Levchenko, F.R. Mohamed, G. Huhs, M. Lüders, M. Oliveira and M. Scheffler: Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats. npj Computational Materials 3, 46 (2017).

Ghiringhelli, L.M., J. Vybiral, E. Ahmetcik, R. Ouyang, S.V. Levchenko, C. Draxl and M. Scheffler: Learning physical descriptors for materials science by compressed sensing. New Journal of Physics 19 (2), 023017 (2017).

Goldsmith, B., M. Boley, J. Vreeken, M. Scheffler and L.M. Ghiringhelli: Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics 19 (1), 013031 (2017).