Publications in 2019


  1. A. Alvermann, A. Basermann, H.-J. Bungartz, C. Carbogno, D. Ernst, H. Fehske, Y. Futamura, M. Galgon, G. Hager, S. Huber, T. Huckle, A. Ida, A. Imakura, M. Kawai, S. Köcher, M. Kreutzer, P. Kus, B. Lang, H. Lederer, V. Manin, A. Marek, K. Nakajima, L. Nemec, K. Reuter, M. Rippl, M. Röhrig-Zöllner, T. Sakurai, M. Scheffler, C. Scheurer, F. Shahzad, D. Simoes Brambila, J. Thies, and G. Wellein,
    Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects. Japan J. Indust. Appl. Math. 36, 699-717 (2019);
    Reprint download: pdf
  2. M. Andersen, S.V. Levchenko, M. Scheffler, and K. Reuter,
    Beyond Scaling Relations for the Description of Catalytic Materials. ACS Catal. 9, 2752-2759 (2019);
    Reprint download: pdf
  3. Bagus, P.S., C.J. Nelin, X. Zhao, S.V. Levchenko, E. Davis, X. Weng, F. Späth, C. Papp, H. Kuhlenbeck and H.-J. Freund,
    Revisiting surface core-level shifts for ionic compounds. Physical Review B 100 (11), 115419 (2019);
    Reprint download: pdf
  4. Bagus, P.S., C.J. Nelin, S.V. Levchenko, X. Zhao, E. Davis, H. Kuhlenbeck and H.-J. Freund,
    Surface core level BE shifts for CaO(100): insights into physical origins. Physical Chemistry Chemical Physics 21 (45), 25431 (2019);
    Reprint download: pdf
  5. C.J. Bartel, C. Sutton, B.R. Goldsmith, R. Ouyang, C.B. Musgrave, L.M. Ghiringhelli, and M. Scheffler,
    New Tolerance Factor to Predict the Stability of Perovskite Oxides and Halides. Sci. Adv. 5, eaav0693 (2019);
    Reprint download: pdf, Supplementary material: pdf
  6. Belviso, F., V.E.P. Claerbout, A. Comas-Vives, N.S. Dalal, F.-R. Fan, A. Filippetti, V. Fiorentini, L. Foppa, C. Franchini, B. Geisler, L.M. Ghiringhelli, A. Groß, S. Hu, J. Íñiguez, S.K. Kauwe, J.L. Musfeldt, P. Nicolini, R. Pentcheva, T. Polcar, W. Ren, F. Ricci, F. Ricci, H.S. Sen, J.M. Skelton, T.D. Sparks, A. Stroppa, A. Urru, M. Vandichel, P. Vavassori, H. Wu, K. Yang, H.J. Zhao, D. Puggioni, R. Cortese and A. Cammarata,
    Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications. Inorganic Chemistry 58 (22), 14939 (2019);
    Reprint download: pdf
  7. C. Draxl,
    Artificial intelligence in materials science - hype or revolution? SPG Mitteilungen 59, 23 (2019).
    Reprint download: pdf
  8. C. Draxl and M. Scheffler,
    The NOMAD Laboratory: From Data Sharing to Artificial Intelligence. J. Phys. Mater. 2, 036001 (2019);
    Reprint download: pdf
  9. B.R. Goldsmith, J. Florian, J.-X. Liu, Ph. Gruene, J.T. Lyon, D.M. Rayner, A. Fielicke, M. Scheffler, and L.M. Ghiringhelli,
    Two-to-three dimensional transition in neutral gold clusters: The crucial role of van der Waals interactions and temperature. Phys. Rev. Mat. 3, 016002 (2019);
    Reprint download: pdf
  10. D. Guedes-Sobrinho, W. Wang, I. Hamilton, J.L.F. Da Silva, and L.M. Ghiringhelli,
    (Meta-)stability and Core-Shell Dynamics of Gold Nanoclusters at Finite Temperature. J. Phys. Chem. Lett. 10, 685-692 (2019);
    Reprint download: pdf, Supplementary material: pdf
  11. K.W. Jacobsen and M. Scheffler,
    The role of data and artificial intelligence Research needs towards sustainable production of fuels and chemicals, 79-90 (2019).
    Reprint download: pdf
  12. Kapil, V., E. Engel, M. Rossi and M. Ceriotti,
    Assessment of Approximate Methods for Anharmonic Free Energies. Journal of Chemical Theory and Computation 15 (11), 5845 (2019);
    Reprint download: pdf
  13. P. Kůs, A. Marek, S.S. Köcher, H.-H. Kowalski, C. Carbogno, Ch. Scheurer, K. Reuter, M. Scheffler, and H. Lederer.
    Optimizations of the Eigensolvers in the ELPA Library. Parallel Computing 85, 167 (2019);
    Preprint download: Arxiv
  14. M.-O. Lenz, T.A.R. Purcell, D. Hicks, S. Curtarolo, M. Scheffler, C. Carbogno,
    Parametrically constrained geometry relaxations for high-throughput materials science. npj Computational Materials 5, 123 (2019);
    Reprint download: pdf
  15. S.V. Levchenko and M. Scheffler,
    Compact representation of one-particle wavefunctions and scalar fields obtained from electronic-structure calculations. Comput. Phys. Comm. 237, 42-46 (2019);
    Reprint download: pdf
  16. Li, M., Y. Luo, X. Hu, Z.-K. Han, X. Liu and J. Cui,
    Co-regulation of the copper vacancy concentration and point defects leading to the enhanced thermoelectric performance of Cu3In5Te9-based chalcogenides. RSC Advances 9 (54), 31747 (2019);
    Reprint download: pdf
  17. Litman, Y., J. Behler and M. Rossi,
    Temperature dependence of the vibrational spectrum of porphycene: a qualitative failure of classical-nuclei molecular dynamics. Faraday Discussions 221, 526 (2020);
    Reprint download: pdf
  18. M.-M. Millet, G. Algara-Siller, S. Wrabetz, A. Mazheika, F. Girgsdies, D. Teschner, F. Seitz, A. Tarasov, S.V. Levchenko, R. Schlögl, and E. Frei,
    Ni Single Atom Catalysts for CO2 Activation. J. Am. Chem. 141, 2451-2461 (2019);
    Reprint download: pdf
  19. C. Nyshadham, M. Rupp, B. Bekker, A.V. Shapeev, T. Mueller, C.W. Rosenbrock, G. Csányi, D.W. Wingate, and G.L.W. Hart,
    Machine-learned multi-system surrogate models for materials prediction. npj Computational Materials 5, 51 (2019);
    Reprint download: pdf
  20. J.K. Nørskov, et al.
    Research needs towards sustainable production of fuels and chemicals. (2019).
    Reprint download: pdf
  21. C. Oses, E. Gossett, D. Hicks, F. Rose, M. 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. J. Chem. Inf. Model. 58, 2477 (2019);
    Reprint download: pdf
  22. 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. J. Phys. Mater. 2, 024002 (2019);
    Reprint download: pdf, Supplementary material: pdf;
  23. Raimbault, N., A. Grisafi, M. Ceriotti and M. Rossi,
    Using Gaussian Process Regression to Simulate the Vibrational Raman Spectra of Molecular Crystals. New Journal of Physics 21 (10), 105001 (2019);
    Reprint download: pdf
  24. Ren, T., Z. Han, P. Ying, X. Li, X. Li, X. Lin, D. Sarker and J. Cui,
    Manipulating Localized Vibrations of Interstitial Te for Ultra-High Thermoelectric Efficiency in p-Type Cu–In–Te Systems. ACS Applied Materials and Interfaces 11 (35), 32192 (2019);
    Reprint download: pdf
  25. R. Schewski, K. Lion, A. Fiedler, C. Wouters, A. Popp, S.V. Levchenko, T. Schulz, M. Schmidbauer, S. Bin Anooz, R. Grüneberg, Z. Galazka, G. Wagner, K. Irmscher, M. Scheffler, C. Draxl, and M. Albrecht,
    Step-flow growth in homoepitaxy of β-Ga2O3 (100)—The influence of the miscut direction and faceting. APL Materials 7, 022515 (2019);
    Reprint download: pdf
  26. S.A. Schunk et al.,
    The Digitalization of Catalysis-Related Sciences. GeCatS Whitepaper (March 2019).
    Reprint download: pdf
  27. H. Shang, A. Argondizzo, S. Tan, J. Zhao, P. Rinke, C. Carbogno, M. Scheffler, and H. Petek,
    Electron-phonon coupling in d-electron solids: A temperature-dependent study of rutile TiO2 by first-principles theory and two-photon photoemission. Phys. Rev. Research 1, 033153 (2019);
    Reprint download: pdf
  28. T. Shen, 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. J. Chem. Theory Comput.15, 4721 (2019);
    Reprint download: pdf
  29. C. Sutton, L.M. Ghiringhelli, T. Yamamoto, Y. Lysogorskiy, L. Blumenthal, T. Hammerschmidt, J. 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);
    Reprint download: pdf, Supplementary material: pdf
  30. H. Wang, 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). Adv. Electron. Mater. 5, 180091 (2019);
    Reprint download: pdf
  31. I.-Y. Zhang, 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 J. Phys. 1, 013025 (2019);
    Reprint download: pdf
  32. I.Y. Zhang, G. Zwaschka, Z. Wang, M. Wolf, R.K. Campen and Y. Tong,
    Resolving the Chemical Identity of H2SO4 Derived Anions on Pt(111) Electrodes: They’re Sulfate. Physical Chemistry Chemical Physics 21 (35), 19147 (2019);
    Reprint download: pdf
  33. L. Zhao, N. Lin, Z. Han, X. Li, H. Wang and J. Cui,
    Regulation of the Crystal Structure Leading to the Bandgap Widening and Phonon Scattering Increasing in Cu3SnS4‐Cu3SbSe3 Chalcogenides. Advanced Electronic Materials 5 (10), 1900485 (2019);
    Reprint download: pdf
  34. Y. Zhou, M. Scheffler, and L.M.Ghiringhelli,
    Determining Surface Phase Diagrams Including Anharmonic Effects. Phys. Rev. B 100, 174106 (2019);
    Reprint download: pdf, Supplementary material: pdf

Forschungsbericht 2019

  1. A. Trunschke, Annette, C. Draxl, R. Schlögl, and M. Scheffler,
    Digitale Katalyse
    Download: pdf


Page last modified on November 23, 2022, at 10:30 AM CET