期刊
CHEMICAL ENGINEERING SCIENCE
卷 236, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2021.116513
关键词
Classical density functional theory; Reaction-diffusion; Interfacial reaction; Nanoscale
资金
- National Natural Science Foundation of China [21878078, 91934302, 21978079]
- Dean Project of Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology
The newly proposed dynamic reaction density functional theory (DRxDFT) combines classical dynamic DFT with reaction collision theory to describe reaction-diffusion coupling at the nanoscale. The enhancement of reaction efficiency is found to be strongly determined by the degree of coupling between reaction and diffusion, rather than just the increase in reaction or diffusion rate.
Reaction-diffusion (RD) coupling lies in the heart of chemical engineering. Due to the inherent density inhomogeneity of interfacial systems, the existing continuum approaches for quantifying the coupling between reaction and diffusion do not translate into interfacial systems, which highlights the urgent need for developing new methods to describe the RD coupling at nanoscale. In this work, a dynamic reaction density functional theory (DRxDFT) is proposed by combining the classical dynamic DFT for describing reactant/product diffusion with the reaction collision theory for addressing chemical reaction. For demonstrating its applicability to interfacial systems, the DRxDFT is hereafter applied to investigate an irreversible model reaction A + 2B ? 2C on a catalytic substrate, and the effects of temperature, substrate adsorption strength, reactant concentration, diffusion coefficient, and reaction activation energy on reaction efficiency are examined. The calculated results show that the enhancement of reaction efficiency weakly depends on the unilateral increase of reaction or diffusion rate, but is strongly determined by the incensement of the coupled degree of reaction and diffusion. The proposed theory provides a promising tool for guiding the optimization and intensification of interfacial RD processes. (c) 2021 Elsevier Ltd. All rights reserved.
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