Publications
Publications of the NOMAD Laboratory
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2019
Articles
- 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); https://doi.org/10.1007/s13160-019-00360-8
Reprint download: pdf - 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); https://doi.org/10.1021/acscatal.8b04478
Reprint download: pdf P. S. Bagus, 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); https://doi.org/10.1103/PhysRevB.100.115419
Reprint download: pdfP. S. Bagus, 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); https://doi.org/10.1039/c9cp04847b
Reprint download: pdf- 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); https://doi.org/10.1126/sciadv.aav0693
Reprint download: pdf, Supplementary material: pdf F. Belviso, 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); https://doi.org/10.1021/acs.inorgchem.9b01785
Reprint download: pdf- C. Draxl,
Artificial intelligence in materials science - hype or revolution? SPG Mitteilungen 59, 23 (2019).
Reprint download: pdf - C. Draxl and M. Scheffler,
The NOMAD Laboratory: From Data Sharing to Artificial Intelligence. J. Phys. Mater. 2, 036001 (2019); https://doi.org/10.1088/2515-7639/ab13bb
Reprint download: pdf - 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); https://doi.org/10.1103/PhysRevMaterials.3.016002
Reprint download: pdf - 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); https://doi.org/10.1021/acs.jpclett.8b03397
Reprint download: pdf, Supplementary material: pdf - 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 - 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); https://doi.org/10.48550/arXiv.1811.01277
Preprint download: Arxiv V. Kapil, 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); https://doi.org/10.1021/acs.jctc.9b00596
Reprint download: pdfM.-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); https://doi.org/10.1038/s41524-019-0254-4
Reprint download: pdf- 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); https://doi.org/10.1016/j.cpc.2018.11.004
Reprint download: pdf M. Li, 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); https://doi.org/10.1039/C9RA06565B
Reprint download: pdfY. Litman, 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); https://doi.org/10.1039/C9FD00056A
Reprint download: pdfM.-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); https://doi.org/10.1021/jacs.8b11729- J.K. Nørskov, et al.
Research needs towards sustainable production of fuels and chemicals. (2019).
Reprint download: pdf 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); https:/doi.org/10.1038/s41524-019-0189-9C. 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); https:/doi.org/10.1021/acs.jcim.8b00393R. 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); https://doi.org/10.1088/2515-7639/ab077bN. Raimbault, 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); https://doi.org/10.1021/acs.chemmater.6b04190T. Ren, 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); https://doi.org/10.1021/acsami.9b12256R. 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); https://doi.org/10.1063/1.5054943- S.A. Schunk et al.,
The Digitalization of Catalysis-Related Sciences. GeCatS Whitepaper (March 2019).
Reprint download: pdf 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); https://doi.org/10.1103/PhysRevResearch.1.033153T. 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); https://doi.org/10.1021/acs.jctc.8b01294C. 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); https://doi.org/10.1038/s41524-019-0239-3- A. Trunschke, Annette, C. Draxl, R. Schlögl, and M. Scheffler,
Digitale Katalyse
Download: pdf 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); https://doi.org/10.1002/aelm.201800891I.-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. 21, 013025 (2019); https://doi.org/10.1088/1367-2630/aaf751I.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); https://doi.org/10.1039/C9CP03397AL. 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); https://doi.org/10.1002/aelm.201900485Y. Zhou, M. Scheffler, and L.M.Ghiringhelli,
Determining Surface Phase Diagrams Including Anharmonic Effects. Phys. Rev. B 100, 174106 (2019); https://doi.org/10.1103/PhysRevB.100.174106
2019
Forschungsbericht 2019
- A. Trunschke, Annette, C. Draxl, R. Schlögl, and M. Scheffler,
Digitale Katalyse
Download: pdf