Nonadiabatic effects in the dissociation of oxygen molecules at the Al(111) surface

被引:105
作者
Behler, Joerg [1 ]
Reuter, Karsten [1 ]
Scheffler, Matthias [1 ]
机构
[1] Max Planck Gesell, Fritz Haber Inst, D-14195 Berlin, Germany
来源
PHYSICAL REVIEW B | 2008年 / 77卷 / 11期
关键词
D O I
10.1103/PhysRevB.77.115421
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The measured low initial sticking probability of oxygen molecules at the Al(111) surface that had puzzled the field for many years was recently explained in a nonadiabatic picture invoking spin-selection rules [J. Behler et al., Phys. Rev. Lett. 94, 036104 (2005)]. These selection rules tend to conserve the initial spin-triplet character of the free O(2) molecule during the molecule's approach to the surface. A locally constrained density-functional theory approach gave access to the corresponding potential-energy surface (PES) seen by such an impinging spin-triplet molecule and indicated barriers to dissociation which reduce the sticking probability. Here, we further substantiate this nonadiabatic picture by providing a detailed account of the employed approach. Building on the previous work, we focus, in particular, on inaccuracies in present-day exchange-correlation functionals. Our analysis shows that small quantitative differences in the spin-triplet constrained PES obtained with different gradient-corrected functionals have a noticeable effect on the lowest kinetic energy part of the resulting sticking curve.
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页数:16
相关论文
共 81 条
[1]   Dissociation of O2 at Al(111):: The role of spin selection rules -: art. no. 036104 [J].
Behler, J ;
Delley, B ;
Lorenz, S ;
Reuter, K ;
Scheffler, M .
PHYSICAL REVIEW LETTERS, 2005, 94 (03)
[2]   Nonadiabatic potential-energy surfaces by constrained density-functional theory [J].
Behler, Joerg ;
Delley, Bernard ;
Reuter, Karsten ;
Scheffler, Matthias .
PHYSICAL REVIEW B, 2007, 75 (11)
[3]   Representing molecule-surface interactions with symmetry-adapted neural networks [J].
Behler, Jorg ;
Lorenz, Sonke ;
Reuter, Karsten .
JOURNAL OF CHEMICAL PHYSICS, 2007, 127 (01)
[4]   Learning to interpolate molecular potential energy surfaces with confidence: A Bayesian approach [J].
Bettens, RPA ;
Collins, MA .
JOURNAL OF CHEMICAL PHYSICS, 1999, 111 (03) :816-826
[5]   Abstractive chemisorption of O2 on Al(111) [J].
Binetti, M ;
Weisse, O ;
Hasselbrink, E ;
Komrowski, AJ ;
Kummel, AC .
FARADAY DISCUSSIONS, 2000, 117 :313-320
[6]   NEURAL-NETWORK MODELS OF POTENTIAL-ENERGY SURFACES [J].
BLANK, TB ;
BROWN, SD ;
CALHOUN, AW ;
DOREN, DJ .
JOURNAL OF CHEMICAL PHYSICS, 1995, 103 (10) :4129-4137
[7]  
Born M, 1927, ANN PHYS-BERLIN, V84, P0457
[8]   NONADIABATIC SURFACE-REACTION - MECHANISM OF ELECTRON-EMISSION IN THE CS+O-2 SYSTEM [J].
BOTTCHER, A ;
IMBECK, R ;
MORGANTE, A ;
ERTL, G .
PHYSICAL REVIEW LETTERS, 1990, 65 (16) :2035-2037
[9]   INTERACTION OF OXYGEN WITH ALUMINUM (111) [J].
BRADSHAW, AM ;
HOFMANN, P ;
WYROBISCH, W .
SURFACE SCIENCE, 1977, 68 (01) :269-276
[10]   Combining ab initio computations, neural networks, and diffusion Monte Carlo: An efficient method to treat weakly bound molecules [J].
Brown, DFR ;
Gibbs, MN ;
Clary, DC .
JOURNAL OF CHEMICAL PHYSICS, 1996, 105 (17) :7597-7604