Benchmarking a Molecular Flake Model on the Road to Programmable Graphene-Based Single-Atom Catalysts.

Area of Science:

• Computational chemistry
• Materials science
• Catalysis

Background:

• Single-atom catalysts (SACs) are crucial for various applications.
• Accurate quantum mechanical simulations are needed for SAC design.
• Conventional DFT methods with slab models have limitations due to errors.

Purpose of the Study:

• To compare molecular flake and periodic slab models for simulating SACs.
• To evaluate the accuracy of molecular flake models for structural and electronic properties.
• To assess catalytic properties and the effect of hybrid functionals using molecular flake models.

Main Methods:

• Simulated SACs with first-row transition metals using both molecular flake and periodic slab models.
• Calculated structural, electronic (spin magnetic moments, partial charges), and CO binding energies.
• Investigated the impact of Hartree-Fock exchange in hybrid functionals on CO binding.

Main Results:

• Molecular flake models accurately reproduced structural and electronic properties of SACs.
• Both models showed qualitatively similar trends for CO binding energy.
• System-dependent sensitivities were observed when tuning hybrid functionals.

Conclusions:

• Molecular flake models provide a reliable and efficient alternative for simulating SACs.
• These models enable the use of more accurate computational methods.
• The findings aid in developing better computational tools for SAC research.