Closing the Gap Between Experiment and Theory: Reactive Scattering of HCl from Au(111)

被引:27
作者
Gerrits, Nick [1 ]
Geweke, Jan [2 ,3 ]
Smeets, Egidius W. F. [1 ]
Voss, Johannes [4 ]
Wodtke, Alec M. [2 ,3 ,5 ]
Kroes, Geert-Jan [1 ]
机构
[1] Leiden Univ, Leiden Inst Chem, Gorlaeus Labs, NL-2300 RA Leiden, Netherlands
[2] Max Planck Inst Biophys Chem, D-37077 Gottingen, Germany
[3] Univ Gottingen, Inst Phys Chem, D-37077 Gottingen, Germany
[4] SUNCAT Ctr Interface Sci & Catalysis, SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA
[5] Univ Gottingen, Int Ctr Adv Studies Energy Convers, D-37077 Gottingen, Germany
关键词
DENSITY-FUNCTIONAL THEORY; GENERALIZED GRADIENT APPROXIMATION; CHEMICALLY ACCURATE SIMULATION; INITIO MOLECULAR-DYNAMICS; NEURAL-NETWORK POTENTIALS; TOTAL-ENERGY CALCULATIONS; DISSOCIATIVE CHEMISORPTION; SURFACE SCATTERING; RANGE; EXCITATION;
D O I
10.1021/acs.jpcc.0c03756
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
Accurate simulation of molecules reacting on metal surfaces, which can help in improving heterogeneous catalysts, remains out of reach for several reactions. For example, a large disagreement between theory and experiment for HCl reacting on Au(111) still remains, despite many efforts. In this work, the dissociative chemisorption of HCl on Au(111) is investigated with a recently developed MGGA density functional (MS-RPBEI) and a high-dimensional neural network potential. Additionally, previous experimental sticking probabilities are re-examined. A considerably improved agreement between experiment and theory is obtained, although theory still overestimates experimental sticking probabilities by a factor of 2-7 at the highest incidence energy. Computed and measured vibrational transition probabilities are also in improved agreement. Several dynamical effects such as angular steering and energy transfer from the molecule to the surface are found to play an important role.
引用
收藏
页码:15944 / 15960
页数:17
相关论文
共 105 条
  • [1] Role of Tensorial Electronic Friction in Energy Transfer at Metal Surfaces
    Askerka, Mikhail
    Maurer, Reinhard J.
    Batista, Victor S.
    Tully, John C.
    [J]. PHYSICAL REVIEW LETTERS, 2016, 116 (21)
  • [2] Dissociation of O2 at Al(111):: The role of spin selection rules -: art. no. 036104
    Behler, J
    Delley, B
    Lorenz, S
    Reuter, K
    Scheffler, M
    [J]. PHYSICAL REVIEW LETTERS, 2005, 94 (03)
  • [3] Representing potential energy surfaces by high-dimensional neural network potentials
    Behler, J.
    [J]. JOURNAL OF PHYSICS-CONDENSED MATTER, 2014, 26 (18)
  • [4] Behler J. RuNNer, 2018, RuNNer - A Neural Network Code for High-Dimensional Neural Network Potentials
  • [5] Generalized neural-network representation of high-dimensional potential-energy surfaces
    Behler, Joerg
    Parrinello, Michele
    [J]. PHYSICAL REVIEW LETTERS, 2007, 98 (14)
  • [6] First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems
    Behler, Joerg
    [J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2017, 56 (42) : 12828 - 12840
  • [7] Constructing high-dimensional neural network potentials: A tutorial review
    Behler, Joerg
    [J]. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2015, 115 (16) : 1032 - 1050
  • [8] Atom-centered symmetry functions for constructing high-dimensional neural network potentials
    Behler, Joerg
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2011, 134 (07)
  • [9] Electronic Friction Dominates Hydrogen Hot-Atom Relaxation on Pd(100)
    Blanco-Rey, M.
    Juaristi, J. I.
    Diez Muino, R.
    Busnengo, H. F.
    Kroes, G. J.
    Alducin, M.
    [J]. PHYSICAL REVIEW LETTERS, 2014, 112 (10)
  • [10] PROJECTOR AUGMENTED-WAVE METHOD
    BLOCHL, PE
    [J]. PHYSICAL REVIEW B, 1994, 50 (24): : 17953 - 17979