English

Role of Oxygen during Methane Oxidation on Pd$_1$/PdO$_1$@CeO$_2$ Surface: A Combined Density Functional Theory, Microkinetic, and Machine Learning Approach

Materials Science 2025-09-23 v1

Abstract

This work explores the role of oxygen in industrial methane oxidation. Oxygen, a well-known oxidizing agent, drives CH4_4 conversion to CO2_2 and H2_2O. We report how oxygen influences oxidation on single Pd and PdO clusters supported on CeO2_2(111). Oxygen is introduced by (1) lattice O in PdO and (2) O2_2 adsorption on an isolated Pd atom, forming PdOx_x clusters. Density-functional theory (DFT) mapped multiple reaction pathways on the Pd1_1/PdO1_1@CeO2_2(111) surface; both Pd and PdO clusters were found to thermodynamically favour methane activation. The computed barrier for CH4_4 activation is 0.63 eV on PdO1_1@CeO2_2(111). A single Pd atom markedly accelerates O2_2 dissociation to PdO2_2, and the presence of lattice oxygen lowers this barrier by 0.36 eV relative to an oxygen-deficient surface, enhancing catalytic efficiency. Reaction selectivity, coverage-dependent production rates, degree of rate control (DRC), and intrinsic turnover frequency (TOF) were quantified through steady-state microkinetic modelling. The simulations predict full conversion of CH4_4 to CO2_2 and H2_2O above 600 K, whereas partial-oxidation intermediates dominate at lower temperature and high O coverage. Rate constants for all elementary steps were derived via the Sure Independence Screening and Sparsifying Operator (SISSO) symbolic-regression method, yielding a concise predictive expression based on charge, coordination number, and key Pd-O/C-H distances. These combined DFT-microkinetic-SISSO results clarify oxygen's mechanistic participation and provide practical guidelines for designing Pd/CeO2_2 catalysts with improved activity toward methane oxidation, a reaction of pressing environmental and industrial importance.

Keywords

Cite

@article{arxiv.2509.17825,
  title  = {Role of Oxygen during Methane Oxidation on Pd$_1$/PdO$_1$@CeO$_2$ Surface: A Combined Density Functional Theory, Microkinetic, and Machine Learning Approach},
  author = {Shalini Tomar and Hojin Jeong and Joon Hwan Choi and Seung-Cheol Lee and Satadeep Bhattacharjee},
  journal= {arXiv preprint arXiv:2509.17825},
  year   = {2025}
}