Thermodynamics, statistical mechanics and the vanishing pore width limit of confined fluids

被引:5
|
作者
Dong, W. [1 ,2 ]
Franosch, T. [3 ]
Schilling, R. [4 ]
机构
[1] Ecole Normale Super Lyon, Lab Chim, UMR CNRS 5182, 46 Allee Italie, F-69364 Lyon 07, France
[2] Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chem Biosensing & Chemometr, Changsha 410082, Peoples R China
[3] Univ Innsbruck, Inst Theoret Phys, Technikerstr,21A, A-6020 Innsbruck, Austria
[4] Johannes Gutenberg Univ Mainz, Inst Phys, Staudinger Weg 9, D-55099 Mainz, Germany
基金
奥地利科学基金会;
关键词
DIMENSIONAL CROSSOVER; HARD-SPHERES; SYSTEMS;
D O I
10.1038/s42005-023-01255-4
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Temperature, particle number and volume are the independent variables of the Helmholtz free energy for a bulk fluid. For a fluid confined in a slit pore between two walls, they are usually complemented by the surface area. However, an alternative choice is possible with the volume replaced by the pore width. Although the formulations with such two sets of independent variables are different, we show they are equivalent and present their relations. Corresponding general statistical-mechanics results are also presented. When the pore width becomes very small, the system behaves rather like a two-dimensional (2D) fluid and one can wonder if thermodynamics still holds. We find it remains valid even in the limit of vanishing pore width and show how to treat the divergences in the normal pressure and the chemical potential so that the corresponding 2D results can be obtained. Thus, we show that the Gibbs surface thermodynamics is perfectly capable of describing small systems. A one-component fluid confined in a slit pore is studied by thermodynamics and statistical mechanics. The authors find that thermodynamics holds even in the limit of vanishing pore width and crosses over from that for a 3D system to that for a 2D one if the singularities in normal pressure and chemical potential are treated properly.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Statistical Mechanics of Confined Polymer Networks
    Bertrand Duplantier
    Anthony J. Guttmann
    Journal of Statistical Physics, 2020, 180 : 1061 - 1094
  • [22] Statistical Mechanics of Confined Biological Materials
    El Kinani, R.
    Benhamou, M.
    Kaidi, H.
    XII MAGHREB DAYS OF MATERIAL SCIENCES, 2017, 186
  • [23] Statistical Mechanics of Confined Polymer Networks
    Duplantier, Bertrand
    Guttmann, Anthony J.
    JOURNAL OF STATISTICAL PHYSICS, 2020, 180 (1-6) : 1061 - 1094
  • [24] A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
    Pacelli, R.
    Ariosto, S.
    Pastore, M.
    Ginelli, F.
    Gherardi, M.
    Rotondo, P.
    NATURE MACHINE INTELLIGENCE, 2023, 5 (12) : 1497 - 1507
  • [25] A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
    R. Pacelli
    S. Ariosto
    M. Pastore
    F. Ginelli
    M. Gherardi
    P. Rotondo
    Nature Machine Intelligence, 2023, 5 : 1497 - 1507
  • [26] STATISTICAL THERMODYNAMICS OF CONVEX MOLECULE FLUIDS
    BOUBLIK, T
    MOLECULAR PHYSICS, 1974, 27 (05) : 1415 - 1427
  • [27] ASPECTS OF THE STATISTICAL THERMODYNAMICS OF REAL FLUIDS
    REISS, H
    FRISCH, HL
    HELFAND, E
    LEBOWITZ, JL
    JOURNAL OF CHEMICAL PHYSICS, 1960, 32 (01): : 119 - 124
  • [28] Statistical thermodynamics of model polar fluids
    Litinskii, G. B.
    HIGH TEMPERATURE, 2010, 48 (01) : 29 - 34
  • [29] Statistical thermodynamics of model polar fluids
    G. B. Litinskii
    High Temperature, 2010, 48 : 29 - 34
  • [30] THE EXACT STATISTICAL THERMODYNAMICS OF CLASSICAL FLUIDS
    EDGAL, UF
    JOURNAL OF CHEMICAL PHYSICS, 1991, 94 (12): : 8179 - 8190