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HAL Id: jpa-00248125

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Branched polymers in restricted geometry : Flory theory, scaling and blobs

T. Vilgis, P. Haronska, M. Benhamou

To cite this version:

T. Vilgis, P. Haronska, M. Benhamou. Branched polymers in restricted geometry : Flory the- ory, scaling and blobs. Journal de Physique II, EDP Sciences, 1994, 4 (12), pp.2187-2196.

�10.1051/jp2:1994255�. �jpa-00248125�

(2)

J.

Phys.

II Franc-e 4 (1994) 2187-2196 DECEMBER 1994, PAGE 2187

Classification Physics Abstracts

36.20 61.40 5.40

Branched polymers in restricted geometry

:

Flory theory, scaling and blobs

T. A.

Vilgis ('),

P. Haronska

(2)

and M. Benhamou

(3)

(')

Max-Planck-Institut ffir

Polymerforschung,

Postfach 3148, 55021 Mainz,

Germany

(2) Max-Planck-Institut for Kolloid- und

Grenzflichenforschung,

Kantstrasse 55, 14513 Teltow-

Seehof,

Germany

(3) Laboratoire de

Physique

des

Polymbres

et Phdnom~nes

Critiques,

Facultd des Sciences Benm'sick, Casablanca, Marocco

lRec.erred 3 Maich J994, iei,ised 26 Ju/j, J994, accepted J8 August J994)

Abstract. This paper discusses the behavior of

polymers

with arbitrary

connectivity

in restricted

geometries,

such as pores and slaps. The use of

Flory

theories, blob models and

scaling

theories for linear chains is well-known and does not lead to any

problems,

I-e- all three

approaches

agree with each other. In the case of branched molecules this is not the case and e-g- no blob model exists. Indeed Flory free

energies

and

scaling

theories may lead to contradictions, when applied to

branched

objects

and

polymeric

fractals without further information. In this paper we will suggest a

strategy, how to use both in combined form. The such obtained results are sensible scaling forms for the radius of

gyration

and the

filling

fraction. It turns out that a blob model can be constructed for branched polymers. This will be demonstrated in the case of randomly branched polymers. It is also shown that the new results for

arbitrary connectivity extrapolate

to the well-known case of linear chains, I-e-

polymers

with one-dimensional

connectivity

and

predicts

new scaling laws for the case of two-dimensional tethered surfaces.

1. Introduction.

Scaling theories, Flory

theories and blob models for linear

polymers

introduced

by Flory

and de Gennes a

long

time ago are very successful tools to find the

asymptotic

behavior of

polymer

chains in different situations

[I].

There are many

examples

where it was demonstrated that these

approaches

can be used to

provide

the main

insight

and answers to

problems

in

physics.

This becomes most obvious when dilute

polymer

solutions or

polymer

melts in restricted

geometries

are studied. This

approach

to

polymer problems

has been used many times and is also the main part of de Gennes'

monograph.

The

major point

to be made is that in most cases

the answers can be

guessed intuitively.

This can be seen at the

following

instructive

example

:

consider a

polymer

in a small

cylindrical

pore. The use of a

cylindrical

pore is not essential but it is used here as

special example.

This

problem

can be solved in three ways. The first method of choice is to use a

simple Flory argument,

the second is the blob

model,

and the third is

scaling theory

[1].

@Les

Editions de

Physique

1994

(3)

In

Flory

type arguments the elastic part and the confined excluded volume interaction of the free energy are balanced and the result is a

basically

stretched

configuration

of the chain in the

cylindrical

pore.

The blob model introduces a new scale in the

problem,

I-e- the blob

size,

which is

naturally given by

the diameter of the pore.

Together

with the natural size of the chain these two

length

scales are the

only

ones

present

in the

problem.

The

portion

of the chain inside one blob in the pore takes its natural dimensions and

shows, however, good

solvent behavior. The size of the blobs must be

entirely

determined

by

the diameter of the pore. These

assumptions

are

enough

to find the dimensions of the chain in the pore.

The third method uses the

scaling hypothesis,

which is well-known from the

theory

of

phase

transitions

[2].

In this

approach

it is assumed that for

large

pores the natural radius of

gyration

of the

polymer

the chain is not

perturbed.

Whenever the diameter of the pore becomes smaller than the natural chain size the

polymer

extends in direction of the pore. Such results for linear chains are reasonable and well-established

[1, 3].

It is not too

surprising

that the results agree from the three methods for linear chains when

they

are

compared

to each other.

So far our remarks

apply only

for linear

polymers.

Another

important problem

is when the

polymers

are branched. Branched

polymers

do have several restrictions due to their

large connectivity [4].

Therefore it is

tempting

to

study

the behavior of branched

polymers

in small pores to model the behavior in a

simple

porous media. In fact in

[4]

it has been shown that small pores could be used

experimentally

to select between linear and branched

polymers,

I-e- in a

chromatograph.

In this paper we would like to

study

the behavior of branched

polymers

in

such small pores. In these cases the restricted geometry in space competes with the

connectivity

of the

polymers.

It turns out below that the

theory

can be formulated for

general polymeric manifolds,

such as linear

polymers,

branched

polymers

or tethered surfaces.

Further

problems

occur if

higher dimensionally

connected

polymers,

such as branched

polymers,

or more

generally

D-dimensional

polymeric

manifolds in restricted

geometries

are

investigated.

Such

higher

connected

polymers

are not able to fit into small

enough

pores. In a

previous publication

this has been shown before

[4].

In this paper it was

simply

assumed that the

D-dimensionally

connected

polymer

in

good

solvent does not fit into pores where the

diameter is less than 5~

=

aN l~ ' Y2 where a is the size of the monomer and N the number of

monomers in a

given

direction. That means the total number of monomers

(proportional

to the

total

mass)

is M

=

N~

in the branched

polymer.

The latter statement is easy to

verify.

For linear

polymers,

D

=

I this is trivial.

Imagine

a two-dimensional connected

polymer sheet,

I-e- a tethered network. N is the number of monomers

along

one side. The total amount of

monomers in the whole manifold is then

N~.

This relation

can be

analytically

continued for

non-integer

values of the

spectral

dimension D very

simply

and will be used later in the paper.

A

general

strategy was not

given

for the combined use of

Flory theories, scaling

and blob

pictures

for D-dimensional manifolds in this

publication,

since

only

the

Flory theory

has been used. Nevertheless the

approach

is able to

predict

the minimum of the pore size as a function of

the molecular

weight

which the branched

polymer

is

just

able to pass

through.

A

general

solution and the use of blobs and

scaling

for manifolds in restricted

geometries

is so far not

present.

This is one of the aims of this paper.

A proper

description

of

higher

dimensional

polymers

is needed and will be achieved

by

a

simple generalization

of what is known in the literature. Linear

polymers

are one-dimensional

objects,

surfaces are of two-dimensional

connectivity,

and

randomly

branched

polymers

can

be

approximated

as

polymeric

fractals with a

spectral

dimension D of about

4/3,

I.e. the mean field limit of

percolation

clusters. This is not exact in d

~

6,

but

reasonably

close to the real values obtained

numerically [5].

Nevertheless for the purpose of our

study

based on a

Flory

estimate

only

the mean field values are of relevance.

(4)

N° 12 BRANCHED POLYMERS IN RESTRICTED GEOMETRY 2189

In the

following

we demonstrate that in cases of branched molecules

actually

both

approaches,

I.e.

Flory theory

and the

scaling

method has to be used to find sensible answers to the

problem.

Another

problem

that is

obviously present is,

that at first

sight

no

appropriate

blob

description

of D ~ l

-polymers

is

possible,

and one has it is natural to

rely

on

Flory

arguments.

Nevertheless it is difficult to

rely

on such arguments and it will be shown how the additional

use of

scaling arguments

will rule out

insignificant

results. The basic

difficulty

in the

swelling

and conformational behavior of branched

polymers

was

already pointed previously [6, 7]

and has been used earlier

by

the

principal

author of this paper

[4]

: branched chains are in

contrast to linear chains never be able to stretch out to a size

ROOM,

where

M is the total molecular

weight. Only

a chemical

path

which contains N monomers can be

stretched out

completely,

but this does not mean that the size of the

polymer

follows the

scaling lai

R cc M. From this statement follows

immediately

that two limits exist for the size of

higher

connected

polymers (D-dimensional

in

connectivity) first,

the branched

polymer

can extend as far as R cc N

(stretched

out

completely

in any

direction).

This limit

yields immediately

a minimum fractal dimension of d~ = D, I-e- a maximum size

R$~~

cc M and

corresponds

to the maximal

possible

extension for all

physical

processes such as

swelling

or

mechanical deformation. The other obvious limitation is

given by

the condensed or saturated

phase,

I-e- the minimum size

given by

the maximum

density R$,~

cc M, where d is the space dimension. Therefore it can be concluded that D w d~ w d.

These

limiting

cases will not be very

important

in the often studied solution cases, but are essential for the behavior of

melts, polymers

in restricted

geometries,

or melts in restricted

geometries. Polymer

melts of linear chain molecules

(D

= I are

relatively simple

to treat within the

scaling approach.

As the chains are of one-dimensional

connectivity they

are able to

interpenetrate

in the dense melt state. When the melt consists of

higher

connected

polymers

(D

~ l this cannot be

generally

the case.

Polymerized

membranes

(D

=

2

),

for

example,

can

only interpenetrate

for

special

cases, e.g. in the flat

phase [8],

but in the crumbled

phase [8]

they

cannot. Melts of such

highly

connected

polymeric objects

saturate, I-e- the individual

polymers

form dense balls

and, however, macroscopically

is the fractal nature is no

longer important [9, 10].

Such melts

placed

in restricted

geometries,

for

example cylindrical

pores,

will show a very subtle behavior as the conformations of the individual molecules are sensitive to the geometry of the space.

The paper is

organized

as follows. In the

following

section the basic definitions will be

repeated briefly

for the case of

arbitrarily

connected flexible molecules in

good

solvent.

Then,

a manifold in

good

solvent between two-dimensional

plates

is

investigated.

Three methods are used

Flory theory, scaling

and a blob model for such systems is introduced. In the next section it is shown that these methods break down when the manifolds are

put

into a

cylindrical

pore. For all manifolds whose

connectivity

is

larger

than one a minimum pore size has to be defined. This pore size is

entirely

determined

by

the

connectivity,

I-e- the

spectral

dimension.

In the last section

polymer

melts in pores are considered.

2.

lXdimensionally

connected

polymers

in

good

solvent.

The arguments from above can be made more familiar if a common

generalization

of the Edwards Hamiltonian for linear

polymers [8, 11]

is introduced for

polymeric

fractals and D-

dimensional manifolds in the

following

standard way

N N N

H

=

0 d~x(V~R)~

v

o d~x 0 d~x' &~(R(x) R(x')). ( la)

D is the

spectral

dimension as noted earlier. Well-known

special examples

are D

= I, that are

(5)

linear

polymers

and D

=

2,

I.e. random tethered surfaces. The

analytic

continuation of D to non

integer

values, I-e- I ~D

~ 2

correspond

to any

polymeric

fractal of

arbitrary connectivity.

x is a D-dimensional vector of the manifold embedded in d space dimensions

described

by

the vector R and N is the linear dimension in one

arbitrary

direction. The first term is the Gaussian

connectivity

and the second term the usual excluded volume interaction.

In this paper

only objects

with D

~ 2 are considered for convenience. The Hamiltonian

(I)

does not make sense for fractional values of D, without

defining

fractional differentials and

integrals properly.

In the

scaling

limit it can be used without

problems.

We restrict ourselves to this latter case.

Although

we do not use the full Hamiltonian in this paper, its introduction is

helpful

to derive its

scaling properties (see [2, 8]), especially

for readers who are not familiar with the notation used below. The standard estimation uses the

replacement R(x)

- R and

(x(

-N. All

integrations yield trivially

a factor of

N~.

It is remembered

again

that

N is not the entire number of monomers but

only

the number of monomers in one

given

direction in

spectral

vector space. Then Hamiltonians such as

given by equation (I)

can be transformed

easily

into a

Flory

free

energie by

dimensional

analysis [12].

F

=

R~/(a~ N~

~ +

a~ N~ ~/R~ (16)

By

the substitution M

=

N~

it is easy to show that

equation (16)

transforms into the well-

known

Flory

form of

polymeric

fractals

[4-10]

with the Gaussian fractal dimension

d~ =

2D/(2

-D),

which recovers cases of linear

polymers (D

=

), randomly

branched

polymers (D

=

4/3)

and tethered membranes

(D

=

2).

The standard result is obtained

by

minimization of

equation (16),

that

yields

the usual

Flory

exponent for the size of the

polymer

in the swollen

(crumbled)

state is found to be

[8]

v=~~~

(2)

To avoid

misunderstanding

at this

early

stage we mention

again

that these exponent accounts for the linear

(chemical)

size N and not for the total mass M.

By simple

arguments it is

easily

found that the

corresponding

fractal dimension is

given by

d~

=

DIV. In the

following

we

restrict ourselves to the three dimensional

(d

=

3)

embedding

space.

3.

lXdimensionally

connected

polymers

between two

parallel plates

in

good

solvent.

As a first

example

the case of a D-dimensional

polymeric

manifold in

good

solvent between two

plates

is studied. The first attempt to solve the

problem

is the use of

Flory's theory.

This is very

simple

and the

Flory

free energy

(see Eq. (lb))

for this

problem

is

given by

F

=R(la~N~~~ +a~N~~/(%R().

d~ is the distance between the two

parallel plates

and

Rj

measures the size of the of

polymer parallel

to the

plates. Minimizing

the free energy with

respect to the size Rjj

yields

the desired result

a 1/4

~~ ~ ~~~

~~ ~

j~

~ ~~~

Note that the N

dependence

in

equation (3) corresponds

to a two-dimensional

polymer

with

spectral

dimension D. For D

=

I

(and

N

=

M)

the correct

exponent

v = 3/4 is recovered

[1, 13].

For

polymer sheets,

such as

flexibly polymerized

membranes

(D

=

2 the reasonable

exponent

v = I is obtained. The latter

corresponds

to the case where the tethered membrane is flat between to very narrow

parallel plates

with undulation fluctuations of the order of the

(6)

N° 12 BRANCHED POLYMERS IN RESTRICTED GEOMETRY 2191

distance between the two

parallel plates. Although

reasonable limits are

predicted by

this

Flory

model it is difficult to be sure about the

validity

of this result if it is not derived

by

a different

method,

such as, e-g- the

scaling theory.

This will be

provided

in the next

paragraph.

The

scaling analysis

can be done in close

analogy

to the case of linear chains. The radius for the chain between two

plates

can be written as

R~

RI

"

RF f ~ (4)

where

Rj

is

again

the extension of the chain

parallel

to the

plate

and 5) the distance between the two

plates. R~

is the

geometrically

unconstrained

Flory

radius in

good

solvent and is defined

by

the

Flory

exponent

given

above

by equation (2).

The

scaling

function

f(.<)

has two limits. The

R~

first is when x

= ~ tends to zero, I.e. when the

plates

are

separated

very far from each other J)

and thus

f (.;

- I. The

opposite

limit, when the

parallel plates

are

placed

very narrow the two- dimensional

configuration

appears, which determines in usual manner the exponent

x of the

scaling

function. This

corresponds

to the two-dimensional

configuration

Of the D-

polymer

is calculated

by

the

Flory

model above. The usual standard argumentation

provides

the same answer as derived in

equation (3).

A more

appropriate

form is given

by

R11 = 5) ~ N l~+ ~~"

(5)

5)

~~~

It is

tempting

to

generalize

de Gennes' blob

picture

to such

self-similar

branched D- dimensional

polymers.

This has not been done yet,

although

it is

simple.

To do

this,

assume the

D-polymer

between two

plates

behaves as a fractal made out of blobs of size 9). Thus it is reasonable to assume that the size of the

object

is

given by

Rjj

= 5)n ~~+ ~ ~~~ where

n is the total number of blobs. Note that the fractal dimension of the

effectively

two-

dimensional

object

d~

=

(2

+ D

)/4

D has been used to account for the

full

mass in the fractal.

The number of blobs n can be calculated

by

determination of the mass m

(number

of

monomers)

inside the blob. Inside the blob the branched structure shows

good

solvent behavior that

yields

m

= (5)la )~~~l~

+~~.

Therefore the number of such blobs is

given by

n = M/m, where M is the total mass

=

N~

as before.

Following

de Gennes'

argumentation

the result

Rjj = 9)

~

)~~~Ml~+~'"~

is

obtained,

which is identical to those obtained

by

the

Flory

J)

theory

and

scaling approach.

This almost trivial

example

shows that the blob

picture

can be

used to construct the same

physically

reasonable results for branched chains similar to the case

of linear chains. The

point

is to use the information also from the

scaling

in terms of the number of monomers in the chemical

path

N

additionally

to the mass

scaling

in the blobs.

The cross check of all results is to consider the

filling

fraction i

=

a~ N~/ (S~R~) ii.

It turns out later that this

quantity

is useful with more respects. For the

polymeric

manifold

(or

a 7/4

~~ ~~~~

polymeric fractal)

in the

slap

i is

given by

i

=

N This result makes

5~

physically

sense and for D

=

I the classical

polymer

behavior is recovered

[1, 3].

For D

~ 2 the

filling

fraction becomes

unphysically large. Trivially

a

polymeric

membrane can be

pressed completely

between to very narrow

plates,

I-e- 5~

=

O(a).

In this

special

case the

filling

fraction becomes

independent

of the molecular

weight,

as it is

intuitively

clear

(lower

critical

dimension).

The

example

of the

arbitrarily self-similarly

branched

polymer

between two

plates

has been

explicitly

discussed in more detail to demonstrate how the blob

picture

and the

scaling

arguments can be

generalized

to branched

polymers

or

arbitrary higher

connected

polymeric objects.

(7)

4.

lXdimensionally

connected

polymers

in a

cylindrical

pore

(good

solvent).

Severe

problems

occur when such self

similarly

branched, non-linear

objects

are put into

cylindrical

pores when in other words the space available for the

polymer

is further restricted.

The

simple

dimensional

analysis

from above has to be modified in the usual sense, that the d- dimensional Dirac function becomes

anisotropic

and the lateral dimensions are

given by

the

pore size. Thus we estimate the relevant excluded volume term from

equation (I)

to be

(R(x) R(x'))

cc

~

where 5~ is now the pore diameter and Rjj is

again

the chain size 5~

RI

parallel

to the pore. Now

begin

with the consideration of the

Flory

free energy for the manifold in the pore

F

=

R(/N~

~ +

vN~ ~/

(5~~

Rj ) (6)

Minimization

yields immediately

the result for the

parallel

exponent

vj =

~

)

~

(7)

which agrees for D

= I with the standard exponent

[I],

I.e. vii

=

I

corresponding

to the

stretching

of the linear chain

along

the pore.

Obviously

this exponent is ill defined whenever D ~ l, that is whenever the

polymers

are of

higher connectivity

as the linear ones. The linear

(chemical)

dimension

through

the fractal or the membrane must not be

larger

than N itself that

corresponds

to the

entirely

stretched limit. Such

phenomena

have been found

previously [6].

It is now easy to

understand,

that

scaling

and a blob model as it was

presented

for the

slap

cannot work anymore for case of the

cylindrical

pore. For

example,

if a

scaling

argument

is considered which assumes a

good

solvent behavior for

large cylindrical

pores and

a linear

(entirely stretched)

branched

polymer

for narrow pores, contradictions will show up such that the

filling

fraction is

unphysically large

for all values for the

spectral

dimension D ~ l. One way out of this

difficulty

is the

postulation

of a minimum pore size

through

which

the branched

polymer

is able to pass

through.

Thus the minimum pore size can be found such that for the

parallel

direction the value Rjj cc N is taken. It is

given by

~~m'n ~~° ~ ~~ '~~

" M ~~ ' '/~~ ~~~

This result makes

physically

sense. The minimum pore size for linear

polymers

the pore size is

independent

of the molecular

weight.

Thus linear

polymers (D

=

I find their way even

through

a very small pore, if 5~~,~ is of the order of the Kuhn

length,

but with a

extremely

low

probability

and in a very

long

time. The time the linear

polymer

will need to pass

through

the pore will be

exponentially large,

I.e. its diffusion constant is

exponentially

small

[ii.

In branched

polymers

as D

~ l another limitation is

important

the

connectivity.

The

larger

the

connectivity,

the

larger

is the minimum pore size. It should be therefore

possible

to construct a porous medium that is able to separate a mixture of branched and linear molecules

on a basis of their

connectivity.

This can be done

by

an

appropriate

minimum pore size

through

which linear

polymers

can pass, whereas branched

polymers

cannot. For the construction of such a

chromatographer dynamical

aspects have to be taken into account, since the other

selection constraint is the finite time to pass

through

a pore, as mentioned in

equation (8).

Such aspects are left for the moment, since an

analogous equation

for the diffusion coefficient in

terms of blobs is still

lacking.

It can be

expected, however,

that the diffusion constant shows a similar behavior as

given

in the D

=

I case for pores

larger

than the minimum pore size.

(8)

N° 12 BRANCHED POLYMERS IN RESTRICTED GEOMETRY 2193

The essential

point

to be made is that the minimum pore size is

entirely

defined

by

the

spectral

dimension and the molecular

weight.

Therefore the pore is able to select

objects

with respect to their

connectivity,

I.e. their

spectral

dimension. This

possibility

has been called

spectral chromatography

in the

previous

paper to

distinguish

to classical

chromatography,

which selects

only

with respect to molecular

weight. When,

for

example,

a membrane is put into a small

enough

pore it cannot flatten out in the

remaining

space but has either to crumble in

a

specific

direction, if the pore is

large enough,

or to saturate

(collapse)

in smaller pores in the lateral direction. Whether one finds the crumbled or

collapsed

case is determined

by

the value of the minimum pore size

5J~,~.

It could be

guessed

that the

geometric

restriction of the pore becomes less

important

if a Theta

(9

solvent is used for

transporting

the

polymer through

the pore

[14].

For a linear

polymer

the

9-exponent

is v

=

1/2 that is less than the swollen exponent

I].

Thus the total size

of the chain in 9-solvent is smaller,

compared

to the

good

solvent case. For

polymeric

manifolds of

larger connectivity

this is also the case and it could be concluded that the limitation defined

by

the pore is less severe. This is indeed not the case. It can be

immediately

estimated

by using

a

Flory

argument of the similar type as above but

including

the third virial coefficient, whereas the excluded volume is

effectively

zero

[I].

It can be shown that the minimum pore size is

given by

the same value

5)~,~

cc N l~ ~~~ as above. We will not elaborate in more detail on this since it is well-known that the

Flory argumentation yields

very bad values for the exponents v in two

dimensions,

but exact values at the lower critical dimension for

three

body

interactions d

= I and the upper critical dimension d

=

3

[13].

Little is known for the

validity

of

Flory

values of branched structures and manifolds under

o-conditions,

and we

do not discuss it further. The value for

5J~,~

under o-conditions

is, however,

the indication that

the minimum pore size is determined

by

the

connectivity only

and not

by thermodynamic

conditions.

It has been mentioned earlier that an

interesting

check about the

consistency

of the results is to calculate the internal

concentration,

or

filling factor,

~F

=

N~/5~~Rj.

The

filling fraction

becomes

independent of

the molecular

weight

M

=

N~ of

the

manifold

at the

point

when the pore takes its minimum size. This indicates that the pore size is still a natural scale for the D-

dimensional

polymers.

5. Melts of fractals in restricted

geometries.

The case of melts of fractals and branched

polymers

is also of interest. The case of melts of linear chains in small

cylindrical

pores has been studied

by

Brochard and de Gennes

[15].

Again

this case of D

=

I-linear

polymer

melts in restricted

geometries

is

simple.

The

generalization

to branched

polymers

and

polymers

with

higher connectivity

is not as

simple

as

it

might

look at first

sight.

In an earlier

publication

it has been shown

[10]

that melts of

branched

polymers

with a

spectral

dimension D

~ l must be divided into two classes.

Whenever the

connectivity

is

larger

than a threshold value

D~

D

~D~

=

2d/(d

+

2)

the fractals do not

interpenetrate

in melts as do linear chains. In such systems the

connectivity

and space

filling

are too

high.

Instead of

interpenetration

the

polymers

saturate and form

separated

balls of their natural

density,

I.e. R cc

N~~~.

The short argument will be

repeated

to understand better the

following argumentation.

The easiest argument can be

performed by using

a

Flory

argument for melts of such fractals. In contrast to self similar

polymers

in

good solvent,

where the excluded volume parameter is

given by

v cc

a~,

in melts v is screened to a much lower

value, I.e. v cc

a~ N~~ [12].

The

Flory

free energy for melts

F

=

RilN~

~ +

a~ N~/R~ (9)

JOURNAL DE PHYS<DUE U T 4,N' 12 DECEMBER 1994 82

(9)

leads

formally

to the D

independent

melt

exponent

v =

2/

(d

+

2).

This result is of no

physical

sense since it

yields

a fractal dimension

larger

than the space

dimension,

I.e. d~ = D

(d

+ 2

~/2,

which is

larger

that the space dimension d whenever the

spectral

dimensions D is

larger

than

D~

=

2 d/

(2

+

d).

For smaller connectivities the situation is very different and the result is that the

polymers

take their

unperturbed size,

that is

given by

R cc Nl~ ~~~. This

happens

since for

all cases the system is above the upper critical dimension. The upper critical dimension in the

melt is

given by

d~~ =

2

D/(2

D )

(10)

which is of factor 2 smaller as in the case of

good

solvent. The latter

point

is due to excluded volume

screening.

The two different cases are now discussed in detail. For

simplicity only

the

case of the

cylindrical

pore is considered. The case of the

slap

is very easy and can be done

straightforward.

The

following

subsection consider the two different cases, when the

spectral

dimension is

larger

or smaller

compared

to the critical value

D~.

5. I D ~ D

~.

In this

regime

the melt of fractals is saturated. That means

that,

unlike in linear

polymers, polymers

of

higher connectivity

do not

interpenetrate

each other since their

connectivity

is so

large

that this cannot

happen.

One limitation for such

polymers

in the pore is that

they

form a row of balls each of size R~ =

aN~~~

The

filling

fraction for this situation is

easily

calculated and it is

given by

J

=

a~ N~/5l~

R~

=

(a/5l)~ N~

°~~

(l1)

The

filling

fraction cannot be

larger

than one

and, therefore,

the pore diameter is limited to values D*

=

aN~~~,

which is the saturation radius of the

polymer

itself. This situation is sketched in

figure

I. When the pore is smaller each of the individual saturated fractals can become

compressed

further as their saturated radius of

gyration

can be

elongated

to forrn

ellipses. Again

the maximum

parallel

radius of the

polymer

is

given by R~~

=

aN,

and for this

case the

filling

fraction is

given by

i

=

a~ N~/5)~ R~~

= (a/5) )~

N~

'

(

l

2)

and the

limiting

pore size is

given by

5~~,~ cc

Nl~

'~~~ which is

naturally

identical to that of

good

solutions and o-solutions.

Again

we find that the pore size does not

depend

on the

thermodynamic

state of the manifold. 5)~~~ is

only

determined

by

the molecular

weight

and the

connectivity.

To pass

through

this minimum pore size each of the saturated fractals has to be

Fig.

I. A melt of

highly

connected

polymers

or manifolds in a small

cylindrical

pore. The

connectivity

is

larger

than D

= 6/5. The manifolds cannot penetrate each other. They form

separated

balls. The pore diameter is identical to the radius of

gyration

in the saturated case.

(10)

N° 12 BRANCHED POLYMERS IN RESTRICTED GEOMETRY 2195

Fig.

2. Same as in

figure

I but with smaller pore diameter. The individual fractals can still be

compressed

until they are stretched to their maximum radius of gyration R~

cc N.

compressed

a factor of A

= N~ l~~~~~~, which is for tethered membranes A

=

N'~~

and for

randomly

branched

polymers

A

=N~~~

as both cases

belong

to the class

D~D~.

A

visualization of this situation is

schematically

shown in

figure

2.

5.2 D

~

D~.

In this case the

physical picture

is very similar to the case of linear

polymers.

As

long

as the

connectivity

is less than the critical

D~

= 6/5 in three

dimensions,

the fractal takes its ideal Gaussian

dimensions,

I.e.

Ro

=

aNl~~~~~

This is because the upper critical dimension for the melt is

always

less than the dimension itself, I.e. in the present case

d

= 3. Therefore excluded volume forces are screened

completely

and the manifold behaves

ideal. In addition this means that the manifolds can

interpenetrate

each other as the

connectivity

is very small. There exist

again

two basic

length

scales for the pore size. The first

one is

given by

the limitation where the manifolds pass

through

without

changing

their

shape.

This can be read off

again

from the

filling

fraction.

The

limiting

value for the pore size is

given by

s~o

=

aNl~~~~~

For

larger

pore size the

polymers

in the melt are able to pass

through

without

changing

their

shape.

Smaller pore sizes

are still

possible,

when the manifolds in the melt stretch out. The maximum

stretching

is

given by R~

= aN, and the

limiting filling

fraction

predicts

5~~,~

~~j, =

aNl~ '~~,

which is

again

identical to the same

limiting

pore size as in all other cases. In the

regime (b)

the results can be

extrapolated

to the case of linear

polymers (D

=

I without

problems.

6. Discussion.

In this paper a

scaling theory

for

arbitrarily

connected

polymeric

manifold in

simple

restricted has been

presented.

The main

point

is that

larger

connectivities

give

rise to severe restrictions for the conformation and the behavior of such molecules in restricted

geometries

such as

parallel plates

or pores. The radius of

gyration

can be calculated for the case of two

parallel plates using Flory theory,

blob model, and

scaling theory.

The blob model has been constructed

using arbitrary spectral

and fractal dimension. This has not been done yet. To our

knowledge

the blob model has

only

be used for

regularly

branched

molecules,

such as for

example

star branched

polymers [16, 17].

These treatments can break down when the D-dimensional manifold is studied in a small

cylindrical

pore. Indeed, the

study

of the behavior of the manifold in the

cylindrical

pore

yields

the most serious restriction. An observation that is in contrast to linear

polymers.

Manifolds with

larger spectral

dimension D

=

I do not pass

through

small pores without

problems.

A minimum pore size has to be assumed to find consistent results. Another main result is that this minimum pore size does not

depend

on the

thermodynamic

conditions of the

manifold,

such as

(11)

good solvent,

theta solvent, or melt conditions. The minimum pore size is determined

by

the

connectivity,

I-e- the

spectral

dimension

only.

The considerations

given

in this paper can be

generalized

very

simply

to

adsorption

problems

and to

charged systems.

Dense systems are also under present consideration and will be

reported separately.

Another

important generalization

is a proper mathematical formulation

[18]

of such systems and their behavior in

arbitrary geometries.

Indeed it has been

shown,

how

path integral

methods and field theoretic methods can be

generalized

to the case D

~ l. Linear

polymers

are in these theories

only

a

special

case.

Experimental

evidence of these results are

given by

similar considerations as for linear

polymers.

We have

already

mentioned the

possibility

of

spectral chromatography. Polymers

of

arbitrary shape

in porous media is another

example.

Realistic porous media cannot be treated

by simple cylindrical

pores, but fall into the same class of

problems provided by

de Gennes and

others in

previous

work on linear chains.

Acknowledgements.

T.A.V. thanks Mr. B. Evans for the «

push

».

References

[Ii de Gennes P. G.,

Scaling

concepts in

polymer physics

(Cornell

University

Press, Ithaca, 1979).

[2] Zinn-Justin J., Quantum field theory and critical

phenomena

(Oxford, Clarendon press, 1993).

[3] Daoud M., de Gennes P. G., J. Phys. Franc-e 38 (1977) 85.

[4]

Vilgis

T. A., J. Phys. II France 2 j1992) 2097.

[5] see e-g-, Stauffer D., Aharony A., Introduction to

percolation

(Taylor and Francis, London, 1992).

[6] Vilgis T. A., J.

Phys.

France 49 (1988) 1481.

[7] Lhuillier D., J. Phys. Franc-e 49 (1988) 705.

[8] See for a general reference: Nelson D. R., Piran T.,

Weinberg

S., Statistical mechanics of membranes and surfaces (World Scientific,

Singapore,

1989).

[9] Cates M. E., J.

Phys.

France 46 (1985) 1059.

[10]

Vilgis

T. A., Physica A 153 (1988) 341.

ill] Doi M., Edwards S. F.,

Theory

of

polymer dynamics

(Oxford, Clarendon press, 1986).

[12]

Vilgis

T. A., J.

Phys.

II Franc-e 2 (1992) 1961.

[13] des Cloizeaux J., Jannink G., Macromolecules in solution (Oxford, Clarendon press, 1990).

[14] Raphael E., Pincus P., J. Phys. II Franc-e 2 (1992) 1341.

[15] Brochard F., de Gennes P. G., J. Phys. Franc-e 40 j1979) L399.

[16] Daoud M., Cotton J., J. Phys. Franc-e 43 j1982) 531.

[17]

Halperin

A., Alexander S., Macromolecules 20 (1987) l146.

[18] Haronska P. to appear in Europhys. Lent. (1994).

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