Adsorption of air pollutants onto silver and gold atomic clusters: DFT and PNO-LCCSD-F12 calculations.
Mohsen Doust MohammadiNikolaos PatsalidisSomnath BhowmickVagelis A HarmandarisGeorge BiskosPublished in: RSC advances (2023)
We provide a comprehensive investigation of intermolecular interactions between atmospheric gaseous pollutants, including CH 4 , CO, CO 2 , NO, NO 2 , SO 2 , as well as H 2 O and Ag n ( n = 1-22) or Au n ( n = 1-20) atomic clusters. The optimized geometries of all the systems investigated in our study were determined using density functional theory (DFT) with M06-2X functional and SDD basis set. The PNO-LCCSD-F12/SDD method was used for more accurate single-point energy calculations. Compared to their isolated states, the structures of the Ag n and Au n clusters undergo severe deformations upon adsorption of the gaseous species, which become more significant as the size of the clusters decreases. Considering that, in addition to adsorption energy, we have determined the interaction and deformation energy of all the systems. All our calculations consistently show that among the gaseous species examined, SO 2 and NO 2 exhibit a higher preference for adsorption on both types of clusters, with a slightly higher preference for the Ag clusters compared to the Au clusters, with the SO 2 /Ag 16 system exhibiting the lowest adsorption energy. The type of intermolecular interactions was investigated through wave function analyses, including natural bond orbital (NBO) and quantum theory of atoms in molecules (QTAIM), showing that NO 2 and SO 2 are chemisorbed on the Ag n and Au n atomic clusters, whereas the other gas molecules exhibit a much weaker interaction with them. The reported data can be used as input parameters for molecular dynamics simulations to study the selectivity of atomic clusters towards specific gases under ambient conditions, as well as to design materials that take advantage of the studied intermolecular interactions.
Keyphrases
- density functional theory
- molecular dynamics simulations
- molecular dynamics
- quantum dots
- aqueous solution
- sensitive detection
- molecular docking
- visible light
- air pollution
- energy transfer
- gold nanoparticles
- heavy metals
- atomic force microscopy
- mass spectrometry
- room temperature
- risk assessment
- data analysis
- artificial intelligence
- early onset