4.4 Article

Capture of acidic gas molecules in metallic nanopillar array surfaces

期刊

JOURNAL OF MOLECULAR MODELING
卷 27, 期 5, 页码 -

出版社

SPRINGER
DOI: 10.1007/s00894-021-04728-x

关键词

Acidic gas; Molecular dynamics simulation; Nanopillar array

资金

  1. Ministry of Science and Technology, R.O.C. [MOST 108-2221-E-224-034, MOST 109-2221-E-035-001-MY2, MOST 108-2622-E-224-016CC3]

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This study employed molecular dynamics to simulate the dynamic adsorption behavior of acidic fluid molecules in gold nanoslits, finding that Au(110) has optimal capture capabilities for H2O and H2S. The design of array structures with slit widths 8.15x5.76 angstrom resulted in the highest average adsorption energy and static adsorption amount, increasing the self-diffusion coefficient of gas molecules and providing stable adsorption sites.
To effectively capture the acidic fluid molecules in industrial exhaust, this study employed molecular dynamics to simulate the dynamic adsorption behavior of a mixture of carbon monoxide (CO), carbon dioxide (CO2), hydrogen sulfide (H2S), and water (H2O) molecules in gold (Au) nanoslits. We systematically examined the self-diffusion coefficient (D-Z), average adsorption energy (E-a,E-av), and static adsorption amount (N-sa) of individual ingredients and a mixture of the adsorbates under various temperatures (T), concentrations (c), and array slit widths (d). The simulation results indicate that Au(110) has better capture capabilities with regard to H2O and H2S, followed by CO2 and then finally CO. Among the various slit structures, the design of array structures with slit widths 8.15x5.76 angstrom (case C) resulted in the highest average adsorption energy and static adsorption amount for all of the adsorbates. This is due to the fact that an appropriate slit width can increase the self-diffusion coefficient of the gas molecule and provide more stable adsorption sites to capture the adsorbates. Compared to the smooth surface structure, the nanopillar array structures significantly increased the self-diffusion coefficients and the adsorption energy of specific molecules. The comprehensive molecular model is helpful to predict atomistic-level adsorption behaviors for acidic gas molecules.

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