Diffusioncontrolled reactions: A variational formula for ...

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May 25, 2014 - S. H. Northrup. Department of Chemistry. Tennessee Technological University. Cookeville. Tennessee 38501. (Received 24 June 1983; ...
Diffusioncontrolled reactions: A variational formula for the optimum reaction coordinate Max Berkowitz, J. D. Morgan, J. A. McCammon, and S. H. Northrup Citation: The Journal of Chemical Physics 79, 5563 (1983); doi: 10.1063/1.445675 View online: http://dx.doi.org/10.1063/1.445675 View Table of Contents: http://scitation.aip.org/content/aip/journal/jcp/79/11?ver=pdfcov Published by the AIP Publishing Articles you may be interested in Rigorous formula for the mean lifetime of diffusioncontrolled secondorder reactions in solution J. Chem. Phys. 100, 8825 (1994); 10.1063/1.466737 Diffusioncontrolled reactions: Mathematical formulation, variational principles, and rigorous bounds J. Chem. Phys. 88, 6372 (1988); 10.1063/1.454474 DiffusionControlled Reactions in Solids J. Appl. Phys. 30, 1317 (1959); 10.1063/1.1735313 DiffusionControlled Reactions in Solids J. Appl. Phys. 30, 1141 (1959); 10.1063/1.1735284 Note on DiffusionControlled Reactions J. Chem. Phys. 20, 915 (1952); 10.1063/1.1700594

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Diffusion-controlled reactions: A variational formula for the optimum reaction coordinate Max Berkowitz, J. D. Morgan, and J. A. McCammon Departmenr of Chemistry. University of Houston. Houston. Texas 77004

S. H. Northrup Department of Chemistry. Tennessee Technological University. Cookeville. Tennessee 38501 (Received 24 June 1983; accepted 16 August 1983)

The preferred path for a ditTusion-controlled reaction depends, in general, upon global properties of the potential surface and the frictional resistance to motion upon this surface. A variational formula for this path is derived. The corresponding Euler-Lagrange equations are examined for two important special cases.

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I. INTRODUCTION The rates and mechanisms of many processes in solution are determined by competition between forces due to solvent friction and forces due to a potential surface. 1 In some processes, solvent friction simply has the effect of slowing the net motion of the solute particles without perturbing the preferred paths of motion of these particles Oll the potential surface. Examples include the diffusion-controlled binding of neutral or electrically charged solutes that can be approximated as homogeneous, spherical bodies (originally considered by Smoluchowski2 and Debye3 ), and activated processes that can be modeled in terms of the relative motion of such solutes in one dimension (originally considered by Kramers 4) •

(la)

j=-(8D' VU)P-D' VP,

(lb)

where p({r j }. t) is the configuration space distribution function of the particles, j is the diffusive flux of the particles, (3-1 == k B T is the Boltzmann constant multiplied by temperature, D is the diffusion tensor of the particles, and U is the potential of mean force. The diffusion tensor is symmetric and is related to the friction tensor f by (2)

The flux can be written more compactly as j==-exp(-j3U)D' V[Pexp({3U)].

= -kBTexp(- 8U)V(P exp(8U)]

(4)

f· j exp(i3U) == - kB TV[P exp(,8U)] .

(5)

f· j

or

Now consider a possible trajectory (J> connecting two points A (e. g., the reactant configuration) and B (e. g., the product configuration), and assume that all the particles are moving along this trajectory. Then the flux and differential line element can be rewritten as j=tj,

where t is a unit vector tangent to the path. Integrating Eq. (5) over the path tV yields

1.

ds· f· j exp({3U) == - kB T

~

I.

ds· V (p exp({3U)]

~

== - kB T[P exp(BU)]! .

(7)

For stationary reaction conditions, j is a constant and Eqs. (6) and (7) yield

r t· f· t exp({3U)ds = -

j

A. Variational principle

Therefore,

J. Chern. Phys., 79(11).1 Dec. 1983

(6)

ds=tds,

II. THEORY

ConSider an assembly of solute particles subject to the SmoluChowski equation14 ,15

(3)

Multiplying Eq. (3) from the left by f and using Eq. (2), we obtain

More generally (e. g., for nonspherical solutes), the solvent frictional forces will influence the preferred paths of motion on the potential surface. Because frictional forces scale with particle size, these effects will be most pronounced for large molecules moving on soft potential surfaces. Such effects can be important, e. g., in polymer conformational transitions, 5-10 and perhaps in other reactions such as the diffusional encounter and binding of biological macromolecules. In extreme cases, the character of a typical transition may differ completely from what one would expect by consideration of the potential surface alone. 11,12 In the present paper, we outline a general method for determining the optimum reaction coordinate in a diffuSion-controlled process. This reaction coordinate corresponds to the preferred pathway for diffusional motion on the potential surface of the system. The method is an exact, continuum analog of an apprOXimate, discretestate method described previously. 12 Determination of the optimum reaction coordinate is an essential first step for both the detailed description of the mechanism and the efficient calculation of the rate constant of the reaction. 13

8i=-V' j,

J~

.

kB T[P exp(8U)

J! == const.

const

J!P == J~fff exp(8U)ds '

0021-9606/83/235563-03$02.10

© 1983 American Institute of Physics

(8)

(9)

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Berkowitz, Morgan, McCammon, and Northrup: Diffusion-controlled reactions

where j(j> indicates the flux along the trajectory

* is the path for which

f

,I'

fll exp({3U)ds = minimum .

(10)

Using the terminology proposed in Ref. 16 we call the integral in Eq. (10) the "generalized resistance" and the minimum condition of Eq. (10) the minimum resistance principle. 17

B. Euler-lagrange equations for the minimum resistance principle The minimum resistance principle [Eq. (10)] can be written in the form 61 == 6

Jo eau Sf

'ftt ds

== 0 ,

(11)

which can be used to obtain Euler-Lagrange equations for the minimum resistance path. Here, sf is the total arclength of the path; this length is in general different for all the paths being varied over. In order to eliminate the variation of sf we consider s to be a function of a new parameter t which varies between the fixed limits of 0 and 1. Using the dot to represent differentiation with respect to t, and explicitly representing the tangent in the coordinates x"' one obtains from Eq. (11):

The Euler-Lagrange equations corresponding to Eq. (12) are

a~K [eau~ ;;x"Xvf"v/(~ x~r2J

.

Eq. (16) becomes

~ (eau~) _~e6uJ [L:(X,,)2]1I2 =0 . [ds V ds ax~ "

(18)

Equation (18) can be reduced to

d2~~ + ~ d{3U _ a{3U == 0 ds

ds

ds

ax~

(19)

or, in vector form (20)

Kn+t(VBU' t)-Vau==o,

where K is the curvature of the path, and nand tare the principal unit vectors normal and tangent to the path, respectively. Equation (20) describes the minimum resistance path (MRP), which we designate the optimum reaction coordinate. The latter is often identified instead with the steepest descent path (SDP), which is given by the equation (21)

-V/3U/jV8Uj==t.

Comparison of Eqs. (20) and (21) shows that they describe paths which COincide if and only if the path is a straight line (i. e., K == 0). This can be the case when the potential surface is symmetrical. In general, the MRP differs from the SDP and may not go through the expected saddle points. 12 The deviation between these paths will typically be larger for higher temperatures or flatter potential surfaces. Another interesting case for which one can obtain a simple differential equation for the MRP is that of nonuniform isotropic friction, defined by the following relation:

The Euler-Lagrange equations nOw have the form (13)

Note that j ". is in general anisotropic and a function of the coordinates. While Eq. (13) is very general, it is cumbersome for analysis. Therefore we consider two special cases for purposes of illustration. The first case is that of uniform isotropic friction, which is defined by the following relation: j"v==f6"v==const.

S

(22)

0= :t[a~. (e6U~ ~X"Xvf"v/(~xiY'2)] -

(17c)

d'

"

(14)

In this case, Eq. (13) reduces to

:t [a~l (e8Uj(x)(~x~y/2)]

=

a~l [eBUj(X)(~x~rl

(23)

If the friction at same arbitrary reference point Xo is taken to be j(x o) and the function W(x) is defined through the relation W(x) == U(x) + kB T lnf(x)/j(x o) ,

(24)

the Euler-Lagrange equations become

:t{a~~ [e8W(Z)(~>~r2]}== a~~ ~BW(S)(~:X~ f2]

(25)

Equation (25) is formally identical to Eq. (15), with Proceeding as before, one finds that the equation for the MRP has the form W(x) in place of U(x).

Kn=VBW-t(t· VBW) .

or (16)

(17a) (17b)

(26)

Thus, for the case of nonuniform isotropic friction, the system moves on an effective potential W(x) that depends on both the true potential U(x) and the friction along the pathj(x).

III. DISCUSSION Equation (10) provides a variational expression for the optimum reaction coordinate of a diffusional process.

J. Chern. Phys., Vol. 79, No. 11, 1 December 1983

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Berkowitz, Morgan, McCammon, and Northrup: Diffusion-controlled reactions

Physically, the best single path is seen to be one that balances small frictional reSistance and small energy cost in terms of the potential of mean force_ If there are large changes in the potential of mean force as a function of configuration, only the direction of passage through the saddle point between minima on the surface may be importantll ; more generally, the global character of the friction and potential determine the nature of the preferred motion on the surface. The actual rate constant for a diffusion-controlled reaction will, of course, involve contributions from all possible paths between reactant and product states and not just from the MRP; this is an area of continuing investigation. For many systems, it is expected that the rate will be dominated by paths similar to the MRP. When this is the case, the MRP will be useful in choosing the optimum dividing surface between reactants and products for calculation of rate constants by the Brownian dynamics trajectory method. 13 The MRP may also be useful in constructing the best one-dimensional approximation to the system for a Kramers-type analysis of the reaction dynamics. 4 In general, the Kramers rate constant will be inversely proportional to the integral in Eq. (10) or, using notation Similar to that of Eq. (24),

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NIH (Houston) and from the Research Corporation and the Donors of the Petroleum Research Fund as administered by the American Chemical SOCiety (Tennessee Tech). JAM is a Sloan Fellow and the recipient of NIH Research Career Development and Dreyfus TeacherScholar Awards.

10. F. Calef and J. M. Deutch, Annu. Rev. Phys. Chem. (in press). 2M. v. Smoluchowski, Phys. Z. 17, 557 (1916). 3p. Debye, Trans. Electrochem. Soc. 82, 265 (1943). 'H. A. Kramers, Physica 7, 284 (1940). 5T. F. Schatzki, J. Polym. Sci. 57, 496 (1962); Polym. Prepr. 6, 646 (1965). 6E. Helfand, J. Chem. Phys. 54, 465 (1971). fE. Helfand, Z. R. Wasserman, and T. A. Weber, J. Chem. Phys. 70, 2016 (1979). So. C. Knauss and G. T. Evans, J. Chem. Phys. 72, 1504 (1980).

SM. R. Pear, S. H. Northrup, and J. A. McCammon, J. Chem. Phys. 73, 4703 (1980). 10M. R. Pear, S. H. Northrup, J. A. McCammon, M. Karplus, and R. Levy, Biopolymers 20, 629 (1981). ltG. van der Zwan and J. T. Hynes, J. Chem. Phys. 77, 1295 (1982).

k- 1CX !o(so>1 exp[{3W(s)]ds,