Classical density functional theory of confined fluids: From getting started to modern applications

被引:3
作者
Sermoud, Vitor de Morais [1 ]
Goncalves, Andre de Freitas [2 ]
Barreto Jr, Amaro Gomes [3 ]
Franco, Luis Fernando Mercier [2 ]
Tavares, Frederico Wanderley [1 ,3 ]
Castier, Marcelo [4 ,5 ]
机构
[1] Univ Fed Rio de Janeiro, Chem Engn Program PEQ COPPE, Rio De Janeiro, Brazil
[2] Univ Estadual Campinas UNICAMP, Fac Engn Quim, Campinas, SP, Brazil
[3] Univ Fed Rio de Janeiro, Escola Quim, Rio De Janeiro, RJ, Brazil
[4] Texas A&M Univ Qatar, Chem Engn Program, Doha, Qatar
[5] Natl Univ Asuncion, Polytech Fac, Asuncion, Paraguay
基金
巴西圣保罗研究基金会;
关键词
Classical density functional theory; DFT; Confined fluids; Equations of state; Adsorption; PORE-SIZE DISTRIBUTION; HARD-SPHERE MIXTURES; 2D-NLDFT ADSORPTION MODELS; EQUATION-OF-STATE; FREE-ENERGY; PHASE-BEHAVIOR; CAPILLARY CONDENSATION; BINARY-MIXTURES; TEXTURAL CHARACTERIZATION; MOLECULAR SIMULATIONS;
D O I
10.1016/j.fluid.2024.114177
中图分类号
O414.1 [热力学];
学科分类号
摘要
The application of classical density functional theory (cDFT) to model confined fluids is an outstanding example of directly using fundamental scientific knowledge, such as Statistical Mechanics, to calculate both structural fluid information and macroscopic physical properties needed for process design. One of the goals of this work is to provide materials that allow the reader to become familiar with cDFT. To do that, we present the fundamentals of cDFT and provide sample computational codes that apply its concepts to simple cases. A second goal is to present some of the modern applications of cDFT and related techniques, such as the multicomponent potential theory of adsorption and the development of specialized equations of state for confined fluids, as well as to review publicly available cDFT computer libraries. Overall, there has been a remarkable number of successful applications, ranging from ideal gases confined in 1D geometries to fluids modeled by modern equations of state in 3D porous solids. At the same time, some challenges remain. For example, most implementations are based on grand-potential formulations, which are not always the most convenient for process design. Further, additional results of heat of adsorption predictions would be useful because of their importance in equipment design. Another intriguing alternative could be integrating information from quantum DFT software simulations as input for classical DFT simulations.
引用
收藏
页数:27
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