2007
DOI: 10.1063/1.2785188
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A site-renormalized molecular fluid theory

Abstract: The orientation-dependent pair distribution function for molecular fluids on site-site potentials is expanded in a topological analog of the diagrammatically proper site-site theory of liquids [D. Chandler et al., Mol. Phys. 46, 1335(1982]. The resulting functions are then used to diagrammatically renormalize the molecular fluid theory. A result is that the diagrammatically proper interaction site model theory is shown to be a linearized, minimal angular basis set approximation to this site-renormalized molec… Show more

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Cited by 21 publications
(57 citation statements)
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“…The numerical methods that have emerged in the second part of the last century from liquid-state theories [1,2], including integral equation theory in the interactionsite [3][4][5][6][7][8] or molecular [9][10][11][12][13][14] picture, classical density functional theory (DFT) [15][16][17], or classical fields theory [18][19][20][21], have become methods of choice for many physical chemistry or chemical engineering applications [22][23][24][25]. They can yield reliable predictions for both the microscopic structure and the thermodynamic properties of molecular fluids in bulk, interfacial, or confined conditions at a much more modest computational cost than molecular-dynamics or Monte-Carlo simulations.…”
mentioning
confidence: 99%
“…The numerical methods that have emerged in the second part of the last century from liquid-state theories [1,2], including integral equation theory in the interactionsite [3][4][5][6][7][8] or molecular [9][10][11][12][13][14] picture, classical density functional theory (DFT) [15][16][17], or classical fields theory [18][19][20][21], have become methods of choice for many physical chemistry or chemical engineering applications [22][23][24][25]. They can yield reliable predictions for both the microscopic structure and the thermodynamic properties of molecular fluids in bulk, interfacial, or confined conditions at a much more modest computational cost than molecular-dynamics or Monte-Carlo simulations.…”
mentioning
confidence: 99%
“…As such, there is a general set of site-generated proximal distribution functions that follow the same left, right, and both hierarchy of terms as do the full, angularly dependent molecular pair distribution functions. 14 In turn, each type of generalized proximal distribution function is uniquely generated from an average of its related angular correlation function over the familiar r, 1 , 2 molecular coordinates within the proximal ordering of the complete set of r ij site-site vectors unique to a given configuration of a pair of molecules.…”
Section: Discussionmentioning
confidence: 99%
“…If we follow the diagrammatic analysis of Ladanyi, Chandler, and Richardson [18, 19, 21], then we find [27] that, if we choose the molecular displacement vector, R ij = r ij , so that it coincides with one of the site–site displacement vectors, then the potential naturally decomposes into the none,left,right,both terms of the diagrammatically proper theory [19]. In that case, the full molecular potential is of the general form Uij=uijo+uijl+uijr+uijb, where, if i labels an arbitrary site on molecule 1, j an arbitrary site on molecule 2, uijo=uijfalse(rfalse) uijl=normalγiufalse(false|rijdγfalse|false) uijr=νjufalse(false|rij+dνfalse|false) uijb=normalγiνjufalse(false|rijdγ+dνfalse|false), and we have assumed that the potential between sites displaced by r ij is radially symmetric, d γ is the displacement of site γ from the molecular center now made with reference to r ij , and the o , l , r , b are the conventional labels for the none, left, right, both decomposition referring to the absence or presence of intervening intramolecular bonds or correlations.…”
Section: Theorymentioning
confidence: 99%
“…Here we truncate the expansion of the re-summed indirect correlation function at first order, τ~τ00000false(rfalse), and the closure equations take [27] the relatively simple form cijofalse(rfalse)=gijofalse(rfalse)tijofalse(rfalse)1 cijlfalse(rfalse)=gijofalse(rfalse)false(gijlfalse(rfalse)false[expfalse(tijlfalse(rfalse)false)false]1false)tijlfalse(rfalse) cijrfalse(rfalse)=gijofalse(rfalse)false(gijrfalse(rfalse)false[expfalse(tijrfalse(rfalse)false)false]1false)tijrfalse(rfalse) cijbfalse(rfalse)=gijofalse(rfalse)false{gijbfalse(rfalse)false[expfalse(tijbfalse(rfalse)+tijlfalse(rfalse)+tijrfalse(rfalse)false)false]goodbreakgijlfalse(rfalse)false[expfalse(tijlfalse(rfalse)false)false]gijrfalse(rfalse)false[expfalse(tijrfalse(rfalse)false)false]+1false}t…”
Section: Theoryunclassified
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