Publications 2021 of the
Emeritus Group Prof. Scheffler

Andersen, C.W., R. Armiento, E. Blokhin, G.J. Conduit, S. Dwaraknath, M.L. Evans, Á. Fekete, A. Gopakumar, S. Gražulis, A. Merkys, F.R. Mohamed, C. Oses, G. Pizzi, G.-M. Rignanese, M. Scheidgen, L. Talirz, C. Toher, D. Winston, R. Aversa, K. Choudhary, P. Colinet, S. Curtarolo, D. Di Stefano, C. Draxl, S. Er, M. Esters, M. Fornari, M. Giantomassi, M. Govoni, G. Hautier, V. Hegde, M.K. Horton, P. Huck, G. Huhs, J. Hummelshøj, A. Kariryaa, B. Kozinsky, S. Kumbhar, M. Liu, N. Marzari, A.J. Morris, A.A. Mostofi, K.A. Persson, G. Petretto, T. Purcell, F. Ricci, F. Rose, M. Scheffler, D. Speckhard, M. Uhrin, A. Vaitkus, P. Villars, D. Waroquiers, C. Wolverton, M. Wu and X. Yang: OPTIMADE, an API for exchanging materials data. Scientific Data 8, 217 (2021).

Dutta, A., J. Vreeken, L.M. Ghiringhelli and T. Bereau: Data-driven equation for drug-membrane permeability across drugs and membranes. The Journal of Chemical Physics 154 (24), 244114 (2021).

Dutta, A., J. Vreeken, L.M. Ghiringhelli and T. Bereau: Publisher's Note: "Data-driven equation for drug-membrane permeability across drugs and membranes" [J. J. chem. Phys. 154, 244114 (2021)]. The Journal of Chemical Physics 155 (3), 039901 (2021).

Evans, M.L., C.W. Andersen, S. Dwaraknath, M. Scheidgen, Á. Fekete and D. Winston: optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs. The Journal of Open Source Software 6 (65), 3458 (2021).

Fidanyan, K., I. Hamada and M. Rossi: Quantum Nuclei at Weakly Bonded Interfaces: The Case of Cyclohexane on Rh(111). Advanced Theory and Simulations 4 (4), 2000241 (2021).

Foppa, L., L.M. Ghiringhelli, F. Girgsdies, M. Hashagen, P. Kube, M. Hävecker, S. Carey, A. Tarasov, P. Kraus, F. Rosowski, R. Schlögl, A. Trunschke and M. Scheffler: Materials genes of heterogeneous catalysis from clean experiments and artificial intelligence. MRS Bulletin 46 (11), 1016–1026 (2021).

Kokott, S., I. Hurtado, C. Vorwerk, C. Draxl, V. Blum and M. Scheffler: GIMS: Graphical Interface for Materials Simulations. The Journal of Open Source Software 6 (57), 2767 (2021).

Krynski, M. and M. Rossi: Efficient Gaussian Process Regression for prediction of molecular crystals harmonic free energies. npj Computational Materials 7, 169 (2021).

Leitherer, A., A. Ziletti and L.M. Ghiringhelli: Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning. Nature Communications 12 (1), 6234 (2021).

Maksimov, D., C. Baldauf and M. Rossi: The conformational space of a flexible amino acid at metallic surfaces. International Journal of Quantum Chemistry 121 (3), e26369 (2021).

Park, S., H. Wang, T. Schultz, D. Shin, R. Ovsyannikov, M. Zacharias, D. Maksimov, M. Meissner, Y. Hasegawa, T. Yamaguchi, S. Kera, A. Aljarb, M. Hakami, L.-J. Li, V. Tung, P. Amsalem, M. Rossi and N. Koch: Temperature-Dependent Electronic Ground-State Charge Transfer in van der Waals Heterostructures. Advanced Materials 33 (29), 2008677 (2021).

Pedroza-Montero, J.N., I.L. Garzón and H.E. Sauceda: On the forbidden graphene’s ZO (out-of-plane optic) phononic band-analog vibrational modes in fullerenes. Communications Chemistry 4, 103 (2021).

Ren, X., F. Merz, H. Jiang, Y. Yao, M. Rampp, H. Lederer, V. Blum and M. Scheffler: All-electron periodic G₀W₀ implementation with numerical atomic orbital basis functions: Algorithm and benchmarks. Physical Review Materials 5 (1), 013807 (2021).

Schmidt-Mende, L., V. Dyakonov, S. Olthof, F. Ünlü, K.M.T. Lê, S. Mathur, A.D. Karabanov, D.C. Lupascu, L.M. Herz, A. Hinderhofer, F. Schreiber, A. Chernikov, D.A. Egger, O. Shargaieva, C. Cocchi, E. Unger, M. Saliba, M.M. Byranvand, M. Kroll, F. Nehm, K. Leo, A. Redinger, J. Höcker, T. Kirchartz, J. Warby, E. Gutierrez-Partida, D. Neher, M. Stolterfoht, U. Würfel, M. Unmüssig, J. Herterich, C. Baretzky, J. Mohanraj, M. Thelakkat, C. Maheu, W. Jaegermann, T. Mayer, J. Rieger, T. Fauster, D. Niesner, F. Yang, S. Albrecht, T. Riedl, A. Fakharuddin, M. Vasilopoulou, Y. Vaynzof, D. Moia, J. Maier, M. Franckevičius, V. Gulbinas, R.A. Kerner, L. Zhao, B.P. Rand, N. Glück, T. Bein, F. Matteocci, L.A. Castriotta, A.D. Carlo, M. Scheffler and C. Draxl: Roadmap on organic–inorganic hybrid perovskite semiconductors and devices. APL Materials 9 (10), 109202 (2021).

Seiler, H., M. Krynski, D. Zahn, S. Hammer, Y.W. Windsor, T. Vasileiadis, J. Pflaum, R. Ernstorfer, M. Rossi and H. Schwoerer: Nuclear dynamics of singlet exciton fission in pentacene single crystals. Science Advances 7 (26), eabg0869 (2021).

Seiler, H., D. Zahn, M. Zacharias, P.-N. Hildebrandt, T. Vasileiadis, Y.W. Windsor, Y. Qi, C. Carbogno, C. Draxl, R. Ernstorfer and F. Caruso: Accessing the Anisotropic Nonthermal Phonon Populations in Black Phosphorus. Nano Letters 21 (14), 6171–6178 (2021).

Talirz, L., L.M. Ghiringhelli and B. Smit: Trends in Atomistic Simulation Software Usage [Articlev1.0]. Living Journal of Computational Molecular Science 3 (1), 1–12 (2021).

Zhou, J., Z. Han, X. Wang, H. Gai, Z. Chen, T. Guo, X. Hou, L. Xu, X. Hu, M. Huang, S.V. Levchenko and H. Jiang: Discovery of Quantitative Electronic Structure-OER Activity Relationship in Metal-Organic Framework Electrocatalysts Using an Integrated Theoretical-Experimental Approach. Advanced Functional Materials 31 (33), 2102066 (2021).

Carbogno, C., V. Blum, S. Kokott, H. Lederer, A. Marek, F. Merz, M. Rampp, X. Ren and M. Scheffler: Preparing electronic-structure theory for the exascale. In: High-Performance Computing and Data Science in the Max Planck Society. Max Planck Computing and Data Facility, Garching, 47–49 (2021).

Carbogno, C. and M. Scheffler: Identifying novel thermal insulators in material space. In: High-Performance Computing and Data Science in the Max Planck Society. Max Planck Computing and Data Facility, Garching, 42–43 (2021).

Draxl, C., M. Scheidgen, T. Zastrow, R. Ritz, H. Lederer, S. Heinzel and M. Scheffler: The NOMAD Laboratory. In: High-Performance Computing and Data Science in the Max Planck Society. Max Planck Computing and Data Facility, Garching, 50–51 (2021).

Mazheika, A., S.V. Levchenko, L.M. Ghiringhelli and M. Scheffler: Materials for turning greenhouse gases into useful chemicals and fuels: a route identified by high-throughput calculations and artificial intelligence. In: High-Performance Computing and Data Science in the Max Planck Society. Max Planck Computing and Data Facility, Garching, 44–46 (2021).

Esat, T., M. Knol, P. Leinen, M.F.B. Green, M. Esders, N. Friedrich, M. Maiworm, N. Ferri, P. Chmielniak, S. Sarwar, T. Deilmann, P. Krüger, H.H. Arefi, D. Corken, J. Gardner, K.T. Schütt, J. Rawson, P. Kögerler, M. Rohlfing, R. Findeisen, A. Tkatchenko, K.-R. Müller, R.J. Maurer, C. Wagner, R. Temirov and F.S. Tautz: A standing molecule as a coherent single-electron field emitter. In: 34th International Vacuum Nanoelectronics Conference (IVNC). (Eds.): S. Purcell and J.-P. Mazellier. IEEE, New York, NY, 52–53 (2021).

Lim, B.: Discussion, implementation and demonstration of AI-guided active workflows. Technische Universität Darmstadt

Oehlers, M.: Identifying exceptional data points in materials science using machine learning. Technische Universität Berlin