Ab initio reaction pathways for dissociative adsorption of dioxygen on Al (111)

ORAL

Abstract

We investigate the interaction of dioxygen with a clean aluminum (111) surface. The theoretical description of this fundamental process is challenging due to the discrete, abrupt charge transfer (CT) from the metal surface to the molecule. Indeed, experimental investigations suggest a sizeable activation barrier not accounted for by a conventional DFT description, due to exchange-correlation functional errors. We adopt a different approach, embedding a small (~12 atoms) aluminum cluster in a DFT-derived potential simulating the remainder of the Al surface. The interaction between this embedded cluster and an approaching $O_2$ molecule is treated using high-level correlated wave function methods (CASSCF, CASPT2) that allow for a correct description of the CT process involved. We map out the potential energy surface (PES) as a function of dioxygen bond length, orientation, and position. In agreement with experiment, we find an activation barrier of $\sim$500 meV, which corresponds primarily to the cost to induce CT. Additionally, the PES is consistent with oxygen abstraction as the dominant process in the case of incident perpendicular orientation, confirming the mechanism proposed to explain the surprisingly large fraction of single oxygen atoms found in STM measurements.

*We gratefully acknowledge support from the Max Kade foundation NY, the Office of Naval research, as well as the Princeton university and the DoD supercomputer centers.

Authors

  • Florian Libisch

    • Dep. of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ
  • Chen Huang

    • Dep. of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ
  • Peilin Liao

    • Dep. of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ
  • Michele Pavone

    • Dep. of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ
  • Emily Carter

    • Dep. of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ