Hydrogen adsorption on lithium clusters coordinated to a gC3N4 cavity

Hydrogen storage in graphitic carbon nitride coordinated with boron clusters: A DFT study

The search for novel materials capable of adsorbing molecular hydrogen is of great interest due to the urgent need to replace polluting fossil fuels with clean energy sources. This study evaluates the adsorption of hydrogen molecules using computational methods, specifically density functional theory (M06-2X) combined with the def2-TZVP basis set, in complexes formed with graphitic carbon nitride, gC3N4, and boron clusters (Bn, n = 1-6). The average adsorption energy values for the B-H2 interactions range from -0.11 to -0.08 eV. To assess the spontaneity of these adsorption processes, Gibbs free energies were calculated for the temperatures 50-400 K. The results indicate that gC3N4Bn complexes can adsorb from 2 to 7 hydrogen molecules. Calculations confirm that adsorption remains spontaneous across the temperature range studied, which makes the gC3N4Bn complexes promising for hydrogen storage applications.

Assessing the efficacy of aluminum metal clusters Al13 and Al15 in mitigating NO2 and SO2 pollutants: a DFT investigation

The present investigation delves into the adverse environmental impact of atmospheric pollutant gases, specifically nitrogen dioxide (NO2) and sulfur dioxide (SO2), which necessitates the identification and implementation of effective control measures. The central objective of this study is to explore the eradication of these pollutants through the utilization of aluminum Al13 and Al15 metal clusters, distinguished by their unique properties. The comprehensive evaluation of gas/cluster interactions is undertaken employing density functional theory (DFT). Geometric optimization calculations for all structures are executed using the ωB97XD functional and the Def2-svp basis set. To probe various interaction modalities, gas molecule distribution around the metal clusters is sampled using the bee colony algorithm. Frequency calculations employing identical model chemistry validate the precision of the optimization calculations. The quantum theory of atoms in molecules (QTAIM) and natural bond orbital (NBO) methodologies are applied for the analysis of intermolecular interactions. This research establishes the robust formation of van der Waals attractions between the investigated gas molecules, affirming aluminum metal clusters as viable candidates for the removal and control of these gases.