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A solvation-free-energy functional: A reference-modified density-functional

formulation

Tomonari Sumi, Yutaka Maruyama, and Ayori Mitsutake

Supporting Information

An approximation of the intrinsic free-energy functional for ideal polyatomic molecular gas

The site-density distribution functions for ideal polyatomic molecular gas under arbitrary external

fields are given by1,2

, (A1)

where is the number of sites, is the number density of the ideal polyatomic molecular gas,

and is the intramolecular bonding function between sites a and b. As

pointed out by Chandler et al.3, the external fields are not obtained as a simple functional

of the site-density distributions because of the nonlinear inverse problem of in Eq. (A1). As a result, we cannot obtain the exact intrinsic free-energy functional for ideal polyatomic molecular gas , since we cannot perform the functional integral of the Euler-Lagrange equation defined by UλIM r

( )

{

}

nαIM

(

r U

{ }

λIM

)

= n0exp −βUα IM r

( )

(

)

× dr1 a a=1 P

⎧ ⎨ ⎩ ⎫ ⎬ ⎭

δ r− r1 α

(

)

sab r1 a− r 1 b

(

)

a<b P

⎧ ⎨ ⎩ ⎫ ⎬ ⎭ exp −βUa IM r1 a

( )

(

)

a=1 P

⎧ ⎨ ⎩ ⎫ ⎬ ⎭ P n0 sab

( )

r

(

r− Lab

)

Lab UλIM r

( )

{

}

UλIM r

( )

{

}

FIM⎡⎣

{ }

nλIM ⎤⎦

(2)

, (A2)

where is the chemical potential for site of ideal polyatomic molecular gas. In order to avoid the functional integral of Eq. (A2) with respect to the density functional of , we can alternatively apply the reference-modified density-functional theory (RMDFT) to the derivation of an approximate functional for , where ideal multicomponent gas is employed as the reference system of RMDFT. The Euler-Lagrange equation for the ideal multicomponent gas is give by

, (A3)

where is the intrinsic free energy functional of the ideal multicomponent gas, and and are the external field and chemical potential for component of the ideal multicomponent gas. The external fields for the ideal multicomponent gas are defined so that

. (A4)

Here, we introduce the excess intrinsic free-energy functional for and the excess chemical potential for that are defined as the differences from reference ideal multicomponent gas as follows: , (A5) . (A6) δ FIM nλ IM

{ }

⎡⎣ ⎤⎦ δnαIM

(

r U

{ }

λIM

)

T ,V =µαIM −UαIM

( )

r µαIM α UλIM r

( )

{

}

FIM ⎡⎣

{ }

nλIM ⎤⎦ δ FIG nλ IG

{ }

⎡⎣ ⎤⎦ δnαIG

(

r U

{ }

λIG

)

T ,V =µαIG−UαIG

( )

r FIG⎡⎣

{ }

nλIG ⎤⎦ UαIG r

( )

µαIG α UλIG r

( )

{

}

naIG r U λIG

{ }

(

)

= na IM r U λIM

{ }

(

)

a = 1,2,!,P

(

)

FIM ⎡⎣

{ }

nλIM ⎤⎦ µαIM FIM ex nλIM

{ }

⎡⎣ ⎤⎦ = FIM⎡⎣

{ }

nλIM ⎤⎦− FIG⎡⎣

{ }

nλIM ⎤⎦ µαexIM =µ αIM −µαIG

(3)

From Eqs. (A2)-(A6), we obtain

. (A7)

is approximately obtained by using the second-order density-functional Taylor expansion as follows:

.(A8)

In this equation, we use

, (A9)

that is given by Eq. (A7) and the definition of the intramolecular direct correlation function,4

. (A10)

Equation (A10) is equal to Eq. (31) in the text. Equation (A7) is approximately expressed by using Eq. (A8) as follows:

. (A11)

Using Eqs. (A8), (A11) and that is provided by Eq. (19) in the text, in

Eq. (A5) is finally obtained as follows:

UαIG

( )

r = UαIM

( )

r + δ FIM ex nλIM

{ }

⎡⎣ ⎤⎦ δnαIM

(

r U

{ }

λIM

)

T ,V −µαexIM FIM ex nλIM

{ }

⎡⎣ ⎤⎦ FIM ex nλIM

{ }

⎡⎣ ⎤⎦ = FIM ex n0

{ }

⎡⎣ ⎤⎦ + dr1 a

a=1 P

µa exIM na IM r1 a UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ − 1 2β dr1 a

dr1 b b=1 P

a=1 P

Cab IM r1 a− r 1 b

(

)

na IM r1 a UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ nb IM r1 b UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ µαexIMδ FIM ex nλIM

{ }

⎡⎣ ⎤⎦ δnαIM

(

r U

{ }

λIM

)

nλIM=n0 CαβIM

(

r− ′r

)

≡ −β δ 2 FIM ex nλIM

{ }

⎡⎣ ⎤⎦ δnαIM

(

r U

{ }

λIM

)

δnβIM

(

r U

{ }

λIM

)

nλIM=n 0 =δ⎡⎣−βUαIG

( )

r ⎤⎦ δnβIGr UβIG

(

)

nλIG=n0 − δ⎡⎣−βUαIM

( )

r ⎤⎦ δnβIM

(

r U

{ }

λIG

)

nλIM=n 0 UαIG r

( )

= UαIM r

( )

− 1 β dr1 a

a=1 P

CαaIM r− r1 a

(

)

na IM r1 a UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ FIG⎡⎣

{ }

nλIM ⎤⎦ FIM⎡⎣

{ }

nλIM ⎤⎦

(4)

,(A12)

where

. (A13)

This equation is regarded as the hypernetted-chain-type approximation for the intrinsic free-energy functional of ideal polyatomic molecular gas.

3D-RISM calculation

We need the site-density distribution functions to calculate SFE using Eq. (40). In the

study presented here, we employed three-dimensional reference-interaction-site-model (3D-RISM)

theory5,6 to calculate .

The 3D-RISM theory is an integral equation theory that is used to obtain the solvent

distribution functions from intermolecular potential functions and the thermodynamic conditions

(i.e., temperature and density). It produces the distribution functions of solvent molecule around

solute molecule. The theoretical procedure of the methods has two steps. The first step is to calculate

the pair correlation functions in the aqueous solution based on the solvent-solvent 1D-RISM theory,7,8

which represents the microscopic structure of the distribution of water molecules. In the second step,

we immerse a solute molecule into the solvent and calculate the 3D distribution functions of solvent

FIM⎡⎣

{ }

nλIM ⎤⎦ = FIM ⎡⎣

{ }

n0 ⎤⎦ − 1 β dr1 a a=1 P

na IM r1 a UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ + µa exIM dr1 a a=1 P

na IM r1 a UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ − dr1 a a=1 P

Ua IM r1 a

( )

na IM r1 a UλIM

{ }

(

)

+n0 β dr1 a

dr1 b b=1 P

a=1 P

Cab IM r1 a− r 1 b

(

)

nb IM r1 b UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ + 1 2β dr1 a

dr1 b b=1 P

a=1 P

Cab IM r1 a− r 1 b

(

)

na IM r1 a UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ nb IM r1 b UλIM

{ }

(

)

− n0 ⎡ ⎣ ⎤⎦ FIM⎡⎣

{ }

n0 ⎤⎦ = − PN β + µa exIM a=1 P

N nα

(

r U

{ }

λPR

)

nα

(

r U

{ }

λPR

)

(5)

molecule using the 3D-RISM integral equations.

At infinite dilution in the solvent mixture, the solute-solvent 3D-RISM integral equations

can be written as

. (A14)

Here, and are the Fourier transforms of and , which are the

solute-solvent total and direct correlation functions between solute molecule and solvent site . We mention that Eq. (A14) contains solvent-solvent total correlation function defined by Eq.

(34) in the text. Thus we need to solve Eq. (34) before solving Eq. (A14). We can calculate

form using the Percus’ relation .1,2

Equations (34) and (A14) have an unknown function of two each, the total and direct

correlation functions, then one more equations are required to solve. We employed partially

linearized HNC (PLHNC) equations,5 which are called Kovalenko-Hirata (KH), 6 as the closure

equations,

, (A15)

and

, (A16)

where is the intermolecular interaction potential between sites and on solvent ˆ hγ(k) = ˆca(k)* ˆσaγ(k) a=1 p

+ n0 ˆca(k)* ˆHaγ(k) a=1 p

ˆ hγ(k) ˆcγ(k) hγ(r) cγ(r) € γ Hαγ(r) nα

(

r U

{ }

λPR

)

h γ(r) nα r Uλ PR

{ }

(

)

= n0(hα(r)+1) Hαγ(r) = exp(χαγ(r)) χαγ(r) < 1 χαγ(r) −1 χαγ(r) ≥ 1 # $ % &% χαγ(r) = −βvαγ(r) + Hαγ(r) − Cαγ(r) hγ(r)= exp(χγ(r)) χγ(r)< 1 χγ(r)−1 χγ(r)≥ 1 ⎧ ⎨ ⎪ ⎩⎪ χγ(r)= −βUγPR r r1 λ

{ }

(

)

+ hγ(r)− cγ(r) vαγ(r) α γ

(6)

molecule, and is given by Eq. (35) in the text. We used Eqs. (34) and (A15) for the

first step, and Eqs. (A14) and (A16) for the second step. To solve the 1D-RISM and 3D-RISM

integral equations, we respectively introduce the difference functions,

(A17)

and

. (A18)

The numerical procedure for the first/second step is briefly summarized as follows.

1. Calculate / at each 1D/3D grid point.

2. Initialize / to zero.

3. Calculate / using Eq. A14/A15.

4. Calculate / from / .

5. Transform / to / using the 1D/3D fast Fourier transform

(1D-FFT/3D-FFT).

6. Calculate / using Eq. 34/A14.

7. Invert / to / using the 1D-FFT/3D-FFT.

8. Calculate / using Eq. A17/A18.

9. Calculate new / from / and its history with an acceleration method.

10. Repeat steps 3-9 until the input and output functions become identical within convergence

tolerance. UγPR r r 1 λ

{ }

(

)

Tαγ(r) = Hαγ(r) − Cαγ(r) tγ(r) = hγ(r) − cγ(r)uαγ(r) UγPR r r 1 λ

{ }

(

)

Tαγ(r) tγ(r) Hαγ(r) hγ(r) Cαγ(r) cγ(r) Cαγ(r) = Hαγ(r) − Tαγ(r) cγ(r) = hγ(r) − tγ(r) Cαγ(r) cγ(r) Cˆαγ(k) ˆcγ(k) ˆ Hαγ(k) ˆhγ(k) ˆ Hαγ(k) ˆhγ(k) Hαγ(r) hγ(r) Tαγ(r) tγ(r) Tαγ(r) tγ(r) Tαγ(r) tγ(r)

(7)

Here some acceleration methods for integral equation theories have been proposed for quick

convergence of the iteration process. We employed the modified Anderson method in this study.9

REFERENCES

(1) Sumi, T.; Imai, T.; Hirata, F. Integral Equations for Molecular Fluids Based on the Interaction Site Model: Density-Functional Formulation. J Chem Phys 2001, 115, 6653.

(2) Sumi, T.; Sekino, H. An Interaction Site Model Integral Equation Study of Molecular Fluids Explicitly Considering the Molecular Orientation. J Chem Phys 2006, 125, 34509.

(3) Chandler, D.; McCoy, J. D.; Singer, S. J. Density Functional Theory of Nonuniform Polyatomic Systems. II. Rational Closures for Integral Equations. J Chem Phys 1986, 85, 5977.

(4) Chandler, D.; McCoy, J. D.; Singer, S. J. Density Functional Theory of Nonuniform Polyatomic Systems. I. General Formulation. J Chem Phys 1986, 85, 5971.

(5) Kovalenko, A.; Hirata, F. Self-Consistent Description of a Metal-Water Interface by the Kohn-Sham Density Functional Theory and the Three-Dimensional Reference Interaction Site Model. The Journal of Chemical Physics 1999, 110, 10095–10112.

(6) Hirata, F. Molecular Theory of Solvation; Springer Science & Business Media, 2003. (7) Hirata, F.; Rossky, P. J. An Extended Rism Equation for Molecular Polar Fluids. Chemical

(8)

(8) Hirata, F. Application of an Extended RISM Equation to Dipolar and Quadrupolar Fluids. J

Chem Phys 1982, 77, 509.

(9) Maruyama, Y.; Hirata, F. Modified Anderson Method for Accelerating 3D-RISM

References

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