Multicomponent gas separation and purification using advanced 2D carbonaceous nanomaterials.

Area of Science:

• Materials Science
• Chemical Engineering
• Computational Chemistry

Background:

• Multicomponent gas separation and purification are critical industrial processes.
• Porous 2D carbonaceous nanomaterials offer potential for advanced separation technologies.

Purpose of the Study:

• To investigate the efficacy of Graphdiyne (GD), Graphenylene (GN), and Rhombic-Graphyne (RG) for multicomponent low-weight gas separation.
• To explore the gas-membrane interactions and diffusion behaviors using computational methods.

Main Methods:

• Employed a multiscale computational approach combining density functional theory (DFT) and Climbing Image Nudged Elastic Band (CI-NEB) calculations.
• Utilized Morse potential function fitting to bridge quantum mechanics and non-equilibrium molecular dynamics (NEMD) simulations.
• Calculated gas selectivity using diffusion energy barriers derived from the Arrhenius equation and validated with extensive NEMD simulations.

Main Results:

• Graphdiyne (GD) membranes demonstrated complete separation of methane (CH4) from other gases.
• Graphenylene (GN) membranes effectively separated oxygen (O2) from methane (CH4), nitrogen (N2), and carbon dioxide (CO2).
• Rhombic-Graphyne (RG) membranes achieved complete separation of hydrogen (H2) from all other tested gases.

Conclusions:

• Novel 2D carbon nanomaterials (GD, GN, RG) exhibit high selectivity for specific gas separations.
• The multiscale computational approach provides a reliable method for predicting gas separation performance.
• These materials hold significant potential for industrial gas purification applications.