Nonadiabatic dynamics;
gas surface scattering;
metal surface;
energy dissipation;
electronic friction;
VIBRATIONAL-EXCITATION;
ENERGY-TRANSFER;
NO SCATTERING;
DYNAMICS;
AU(111);
D O I:
10.1021/jacsau.0c00066
中图分类号:
O6 [化学];
学科分类号:
0703 ;
摘要:
Nonadiabatic effects that arise from the concerted motion of electrons and atoms at comparable energy and time scales are omnipresent in thermal and light-driven chemistry at metal surfaces. Excited (hot) electrons can measurably affect molecule-metal reactions by contributing to state-dependent reaction probabilities. Vibrational state-to-state scattering of NO on Au(111) has been one of the most studied examples in this regard, providing a testing ground for developing various nonadiabatic theories. This system is often cited as the prime example for the failure of electronic friction theory, a very efficient model accounting for dissipative forces on metal-adsorbed molecules due to the creation of hot electrons in the metal. However, the exact failings compared to experiment and their origin from theory are not established for any system because dynamic properties are affected by many compounding simulation errors of which the quality of nonadiabatic treatment is just one. We use a high-dimensional machine learning representation of electronic structure theory to minimize errors that arise from quantum chemistry. This allows us to perform a comprehensive quantitative analysis of the performance of nonadiabatic molecular dynamics in describing vibrational state-to-state scattering of NO on Au(111) and compare directly to adiabatic results. We find that electronic friction theory accurately predicts elastic and single-quantum energy loss but underestimates multiquantum energy loss and overestimates molecular trapping at high vibrational excitation. Our analysis reveals that multiquantum energy loss can potentially be remedied within friction theory whereas the overestimation of trapping constitutes a genuine breakdown of electronic friction theory. Addressing this overestimation for dynamic processes in catalysis and surface chemistry will likely require more sophisticated theories
机构:
US Naval Res Lab, Natl Res Council, 4555 Overlook Ave SW, Washington, DC 20375 USAUS Naval Res Lab, Natl Res Council, 4555 Overlook Ave SW, Washington, DC 20375 USA
Kong, Byoung Don
Champlain, James G.
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机构:
US Naval Res Lab, 4555 Overlook Ave SW, Washington, DC 20375 USAUS Naval Res Lab, Natl Res Council, 4555 Overlook Ave SW, Washington, DC 20375 USA
Champlain, James G.
Boos, J. Brad
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机构:
US Naval Res Lab, 4555 Overlook Ave SW, Washington, DC 20375 USAUS Naval Res Lab, Natl Res Council, 4555 Overlook Ave SW, Washington, DC 20375 USA
机构:
CONICET UNL, Inst Fis Litoral, S3000GLN, RA-3450 Guemes, Santa Fe, Argentina
Univ Nacl Litoral, Fac Ing Quim, Dept Ing Mat, S3000AOM, RA-2829 Santiago Del Estero, Santa Fe, ArgentinaCONICET UNL, Inst Fis Litoral, S3000GLN, RA-3450 Guemes, Santa Fe, Argentina
Goldberg, E. C.
Flores, F.
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机构:
Univ Autonoma Madrid, Dept Fis Teor Mat Condensada, E-28049 Madrid, Spain
Univ Autonoma Madrid, IFIMAC, E-28049 Madrid, SpainCONICET UNL, Inst Fis Litoral, S3000GLN, RA-3450 Guemes, Santa Fe, Argentina