Hydrogen adsorption on doped graphene investigated by a DFT-based tight-binding method.

Area of Science:

• Computational Chemistry
• Materials Science
• Electrochemistry

Background:

• Density Functional Theory (DFT) provides accurate but computationally expensive calculations.
• Tight-binding methods offer speed but often lack accuracy.
• Electrochemical interfaces require efficient simulation methods for large systems.

Purpose of the Study:

• To evaluate the suitability of Density Functional Tight Binding (DFTB) for electrochemical simulations.
• To investigate hydrogen adsorption on graphene using DFTB.
• To explore the impact of dopants, ionic adsorption, and double-layer charging on hydrogen adsorption.

Main Methods:

• Utilized DFTB for large-scale simulations of hydrogen adsorption on pristine and doped graphene.
• Incorporated effects of ionic adsorption and double-layer charging within the DFTB framework.
• Performed control calculations using DFT for validation.

Main Results:

• DFTB accurately reproduced DFT results for hydrogen adsorption on graphene, except for boron-doped graphene.
• The method allowed for broad exploration of dopant effects, ionic adsorption, and double-layer charging.
• Investigated the influence of water molecules on hydrogen adsorption on pristine graphene.

Conclusions:

• DFTB is a powerful and efficient tool for studying electrochemical interfaces and molecular dynamics.
• Its speed and flexibility make it suitable for large-scale simulations of complex electrochemical systems.
• DFTB provides valuable insights into hydrogen adsorption phenomena on graphene under various electrochemical conditions.