Density Functional Tight-Binding Models for Band Structures of Transition-Metal Alloys and Surfaces across the d-Block

被引:0
作者
Balzaretti, Filippo [1 ,2 ]
Voss, Johannes [1 ]
机构
[1] SLAC Natl Accelerator Lab, SUNCAT Ctr Interface Sci & Catalysis, Menlo Pk, CA 94025 USA
[2] Stanford Univ, Dept Chem Engn, Stanford, CA 94305 USA
关键词
TOTAL-ENERGY CALCULATIONS; AB-INITIO; DFTB PARAMETERS; SCC-DFTB; MOLECULAR-DYNAMICS; PERIODIC-TABLE; SIMULATIONS; POTENTIALS; CATALYST; HYDROGEN;
D O I
10.1021/acs.jctc.4c00345
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
First-principles electronic structure simulations are an invaluable tool for understanding chemical bonding and reactions. While machine-learning models such as interatomic potentials significantly accelerate the exploration of potential energy surfaces, electronic structure information is generally lost. Particularly in the field of heterogeneous catalysis, simulated electron band structures provide fundamental insights into catalytic reactivity. This ab initio knowledge is preserved in semiempirical methods such as density functional tight binding (DFTB), which extend the accessible computational length and time scales beyond first-principles approaches. In this paper we present Shell-Optimized Atomic Confinement (SOAC) DFTB electronic-part-only parametrizations for bulk and surface band structures of all d-block transition metals that enable efficient predictions of electronic descriptors for large structures or high-throughput studies on complex systems outside the computational reach of density functional theory.
引用
收藏
页码:7272 / 7286
页数:15
相关论文
共 95 条
  • [31] DFT-Based Method for More Accurate Adsorption Energies: An Adaptive Sum of Energies from RPBE and vdW Density Functionals
    Hensley, Alyssa J. R.
    Ghale, Kushal
    Rieg, Carolin
    Thanh Dang
    Anderst, Emily
    Studt, Felix
    Campbell, Charles T.
    McEwen, Jean-Sabin
    Xu, Ye
    [J]. JOURNAL OF PHYSICAL CHEMISTRY C, 2017, 121 (09) : 4937 - 4945
  • [32] The atomic simulation environment-a Python']Python library for working with atoms
    Hjorth Larsen, Ask
    Mortensen, Jens Jorgen
    Blomqvist, Jakob
    Castelli, Ivano E.
    Christensen, Rune
    Dulak, Marcin
    Friis, Jesper
    Groves, Michael N.
    Hammer, Bjork
    Hargus, Cory
    Hermes, Eric D.
    Jennings, Paul C.
    Jensen, Peter Bjerre
    Kermode, James
    Kitchin, John R.
    Kolsbjerg, Esben Leonhard
    Kubal, Joseph
    Kaasbjerg, Kristen
    Lysgaard, Steen
    Maronsson, Jon Bergmann
    Maxson, Tristan
    Olsen, Thomas
    Pastewka, Lars
    Peterson, Andrew
    Rostgaard, Carsten
    Schiotz, Jakob
    Schutt, Ole
    Strange, Mikkel
    Thygesen, Kristian S.
    Vegge, Tejs
    Vilhelmsen, Lasse
    Walter, Michael
    Zeng, Zhenhua
    Jacobsen, Karsten W.
    [J]. JOURNAL OF PHYSICS-CONDENSED MATTER, 2017, 29 (27)
  • [33] Understanding the complex metallic element Mn.: I.: Crystalline and noncollinear magnetic structure of α-Mn -: art. no. 014407
    Hobbs, D
    Hafner, J
    Spisák, D
    [J]. PHYSICAL REVIEW B, 2003, 68 (01)
  • [34] Multi-lattice Kinetic Monte Carlo Simulations from First Principles: Reduction of the Pd(100) Surface Oxide by CO
    Hoffmann, Max J.
    Scheffler, Matthias
    Reuter, Karsten
    [J]. ACS CATALYSIS, 2015, 5 (02): : 1199 - 1209
  • [35] Holloway S, 1984, P 8 C CAT, P85
  • [36] DFTB plus , a software package for efficient approximate density functional theory based atomistic simulations
    Hourahine, B.
    Aradi, B.
    Blum, V.
    Bonafe, F.
    Buccheri, A.
    Camacho, C.
    Cevallos, C.
    Deshaye, M. Y.
    Dumitrica, T.
    Dominguez, A.
    Ehlert, S.
    Elstner, M.
    van der Heide, T.
    Hermann, J.
    Irle, S.
    Kranz, J. J.
    Koehler, C.
    Kowalczyk, T.
    Kubar, T.
    Lee, I. S.
    Lutsker, V.
    Maurer, R. J.
    Min, S. K.
    Mitchell, I.
    Negre, C.
    Niehaus, T. A.
    Niklasson, A. M. N.
    Page, A. J.
    Pecchia, A.
    Penazzi, G.
    Persson, M. P.
    Rezac, J.
    Sanchez, C. G.
    Sternberg, M.
    Stoehr, M.
    Stuckenberg, F.
    Tkatchenko, A.
    Yu, V. W. -z.
    Frauenheim, T.
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2020, 152 (12)
  • [37] Efficient Automatized Density-Functional Tight-Binding Parametrizations: Application to Group IV Elements
    Huran, Ahmad W.
    Steigemann, Conrad
    Frauenheim, Thomas
    Aradi, Balint
    Marques, Miguel A. L.
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2018, 14 (06) : 2947 - 2954
  • [38] Density-Functional Tight-Binding Parameters for Bulk Zirconium: A Case Study for Repulsive Potentials
    Hutama, Aulia Sukma
    Chou, Chien-Pin
    Nishimura, Yoshifumi
    Witek, Henryk A.
    Irle, Stephan
    [J]. JOURNAL OF PHYSICAL CHEMISTRY A, 2021, 125 (10) : 2184 - 2196
  • [39] Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
    Jain, Anubhav
    Shyue Ping Ong
    Hautier, Geoffroy
    Chen, Wei
    Richards, William Davidson
    Dacek, Stephen
    Cholia, Shreyas
    Gunter, Dan
    Skinner, David
    Ceder, Gerbrand
    Persson, Kristin A.
    [J]. APL MATERIALS, 2013, 1 (01):
  • [40] DFTB Parameters for the Periodic Table: Part III, Spin-Orbit Coupling
    Jha, Gautam
    Heine, Thomas
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2022, : 4472 - 4481