Lecture 3
Sponsored Links
This presentation is the property of its rightful owner.
1 / 111

Lecture 3 PowerPoint PPT Presentation


  • 128 Views
  • Uploaded on
  • Presentation posted in: General

Lecture 3. Microscopic dynamics and Macroscopic D We can see that if we want to understand the diffusion constant measured in any material a knowledge of how the microscopic structure and dynamics of the material determine the diffusion coefficient is required.

Download Presentation

Lecture 3

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Lecture 3


Microscopic dynamics and Macroscopic D

We can see that if we want to understand the diffusion constant measured in any material a knowledge of how the microscopic structure and dynamics of the material determine the diffusion coefficient is required.

Consider a particle moving on a 1-D lattice

For a large number (n ) of random hops of distance  on a 1-D lattice the mean displacement, , will be zero because moves left or right (±x) are equally probable.


Microscopic dynamics and Macroscopic D

We can see that if we want to understand the diffusion constant measured in any material a knowledge of how the microscopic structure and dynamics of the material determine the diffusion coefficient is required.

Consider a particle moving on a 1-D lattice

Large # hops, n

For a large number (n ) of random hops of distance  on a 1-D lattice the mean displacement, , will be zero because moves left or right (±x) are equally probable.


Microscopic dynamics and Macroscopic D

We can see that if we want to understand the diffusion constant measured in any material a knowledge of how the microscopic structure and dynamics of the material determine the diffusion coefficient is required.

Consider a particle moving on a 1-D lattice

Large # hops, n

with the same individual hop distance

For a large number (n ) of random hops of distance  on a 1-D lattice the mean displacement, , will be zero because moves left or right (±x) are equally probable.


Microscopic dynamics and Macroscopic D

We can see that if we want to understand the diffusion constant measured in any material a knowledge of how the microscopic structure and dynamics of the material determine the diffusion coefficient is required.

Consider a particle moving on a 1-D lattice

Large # hops, n

with the same individual hop distance

On average, distance moved is zero.

For a large number (n ) of random hops of distance  on a 1-D lattice the mean displacement, , will be zero because moves left or right (±x) are equally probable.


Microscopic dynamics and Macroscopic D

We can see that if we want to understand the diffusion constant measured in any material a knowledge of how the microscopic structure and dynamics of the material determine the diffusion coefficient is required.

Consider a particle moving on a 1-D lattice

Large # hops, n

with the same individual hop distance

On average, distance moved is zero.

However, any individual particle may have moved a long way.

For a large number (n ) of random hops of distance  on a 1-D lattice the mean displacement, , will be zero because moves left or right (±x) are equally probable.


The mean of the squared displacements, however, will not be zero


The mean of the squared displacements, however, will not be zero

Use this to quantify extent of diffusion/particle mobility


The mean of the squared displacements, however, will not be zero

Use this to quantify extent of diffusion/particle mobility

Squared displacement


The mean of the squared displacements, however, will not be zero

Use this to quantify extent of diffusion/particle mobility

Squared displacement

n hops results in an nxn matrix


The mean of the squared displacements, however, will not be zero

Use this to quantify extent of diffusion/particle mobility

Squared displacement

n hops results in an nxn matrix

All diagonal elements are positive


The mean of the squared displacements, however, will not be zero

Use this to quantify extent of diffusion/particle mobility

Squared displacement

n hops results in an nxn matrix

All diagonal elements are positive

Off-diagonal elements can be positive or negative, on average sum to zero


  • This is true because when squaring i, the off-diagonal terms will sum to zero for large n

We have then

If t is the time taken to acquire an mean square displacement, and  is the time for a single elementary hop then:


  • This is true because when squaring i, the off-diagonal terms will sum to zero for large n

Recall,

We have then

If t is the time taken to acquire an mean square displacement, and  is the time for a single elementary hop then:


  • This is true because when squaring i, the off-diagonal terms will sum to zero for large n

Recall,

We have then

Average distance a particle has moved is given by:

If t is the time taken to acquire an mean square displacement, and  is the time for a single elementary hop then:


  • This is true because when squaring i, the off-diagonal terms will sum to zero for large n

Recall,

We have then

Average distance a particle has moved is given by:

Elementary hop distance x square root of the number of hops

If t is the time taken to acquire an mean square displacement, and  is the time for a single elementary hop then:


  • This is true because when squaring i, the off-diagonal terms will sum to zero for large n

Recall,

We have then

Average distance a particle has moved is given by:

Elementary hop distance x square root of the number of hops

If t is the time taken to acquire an mean square displacement, and  is the time for a single elementary hop then:

Total diffusion time


  • This is true because when squaring i, the off-diagonal terms will sum to zero for large n

Recall,

We have then

Average distance a particle has moved is given by:

Elementary hop distance x square root of the number of hops

If t is the time taken to acquire an mean square displacement, and  is the time for a single elementary hop then:

Total diffusion time

Individual hop time


Substituting for n


Substituting for n

Equate the average distance from analysis of macroscopic diffusion profile for thin source with microscopic ‘rms’ distance


Substituting for n

Equate the average distance from analysis of macroscopic diffusion profile for thin source with microscopic ‘rms’ distance

‘Einstein relationship’ : relates microscopic dynamics to macroscopically measured diffusion through a fundamental hopping distance and a fundamental hopping time.


Substituting for n

Equate the average distance from analysis of macroscopic diffusion profile for thin source with microscopic ‘rms’ distance

‘Einstein relationship’ : relates microscopic dynamics to macroscopically measured diffusion through a fundamental hopping distance and a fundamental hopping time.

The factor 2 represents the probability of hops (left or right) on a 1D lattice


Dimensionality of diffusion

1D


Dimensionality of diffusion

1D

2D


Dimensionality of diffusion

1D

2D

3D


Dimensionality of diffusion

1D

2D

3D

Although we deal with real 3D materials, the dimensionality of the diffusive process may well be lower.


NB 1/t is often replaced by a frequency of hopping, n

to give:

Dimensionality of diffusion

1D

2D

3D

Although we deal with real 3D materials, the dimensionality of the diffusive process may well be lower.


NB 1/t is often replaced by a frequency of hopping, n

to give:

Dimensionality of diffusion

1D

2, 4 or 6

2D

3D

Although we deal with real 3D materials, the dimensionality of the diffusive process may well be lower.


Missing anion or cation in a lattice


Missing anion or cation in a lattice

Occur in pairs to maintain electrical neutrality not necessarily together.


Missing anion or cation in a lattice

Occur in pairs to maintain electrical neutrality not necessarily together.

Vacant lattice site created by an atom moving into an interstititial position


Missing anion or cation in a lattice

Occur in pairs to maintain electrical neutrality not necessarily together.

Vacant lattice site created by an atom moving into an interstititial position

These are intrinsic vacancies

Other vacancies may be created by trace amounts of impurities or variable oxidation states of some constituent ions e.g. in NaCl a 2+ impurity (Ca2+, say)

will require a missing anion (Cl-) as charge balance.


Missing anion or cation in a lattice

Occur in pairs to maintain electrical neutrality not necessarily together.

Vacant lattice site created by an atom moving into an interstititial position

These are intrinsic vacancies

Other vacancies may be created by trace amounts of impurities or variable oxidation states of some constituent ions e.g. in NaCl a 2+ impurity (Ca2+, say)

will require a missing anion (Cl-) as charge balance.

These are extrinsic vacancies


Small concentrations (up to a few percent) dissolved in lattice, taking up interstitial positions - diffusion often rapid as number of vacant interstitial sites is high.


Small concentrations (up to a few percent) dissolved in lattice, taking up interstitial positions - diffusion often rapid as number of vacant interstitial sites is high.

}

2,3,4 all mechanisms proposed to move one atom onto the site of another.

Elastic energy required by (3) was considered too great so a cooperative mechanism (4) was postulated.


Small concentrations (up to a few percent) dissolved in lattice, taking up interstitial positions - diffusion often rapid as number of vacant interstitial sites is high.

}

2,3,4 all mechanisms proposed to move one atom onto the site of another.

Elastic energy required by (3) was considered too great so a cooperative mechanism (4) was postulated.

(2) allows direct hopping onto adjacent vacant site, explicitly requires vacancies, (3) + (4) do not.


Small concentrations (up to a few percent) dissolved in lattice, taking up interstitial positions - diffusion often rapid as number of vacant interstitial sites is high.

}

2,3,4 all mechanisms proposed to move one atom onto the site of another.

Elastic energy required by (3) was considered too great so a cooperative mechanism (4) was postulated.

(2) allows direct hopping onto adjacent vacant site, explicitly requires vacancies, (3) + (4) do not.

(5) Mechanism actually observed in some fast ion conductors (see later) combination of vacancy (2) and interstitial (1) mechanisms.


Brass - alloy of Cu/Zn


Brass - alloy of Cu/Zn

Concentration gradient exists between Cu and Cu/Zn -

Zn will diffuse out, ‘down’ the gradient’ as sample is heated for long periods of time.


Brass - alloy of Cu/Zn

Concentration gradient exists between Cu and Cu/Zn -

Zn will diffuse out, ‘down’ the gradient’ as sample is heated for long periods of time.

What happens to the inert markers?


Brass - alloy of Cu/Zn

Concentration gradient exists between Cu and Cu/Zn -

Zn will diffuse out, ‘down’ the gradient’ as sample is heated for long periods of time.

What happens to the inert markers?

They move closer together the longer time goes on.

Conclusion: Zn diffuses faster than Cu.


Brass - alloy of Cu/Zn

Concentration gradient exists between Cu and Cu/Zn -

Zn will diffuse out, ‘down’ the gradient’ as sample is heated for long periods of time.

What happens to the inert markers?

They move closer together the longer time goes on.

Conclusion: Zn diffuses faster than Cu.

Must be vacancy mechanism, because if direct (3) or cooperative (4) then Dcu = DZn


Brass - alloy of Cu/Zn

Concentration gradient exists between Cu and Cu/Zn -

Zn will diffuse out, ‘down’ the gradient’ as sample is heated for long periods of time.

What happens to the inert markers?

They move closer together the longer time goes on.

Conclusion: Zn diffuses faster than Cu.

Must be vacancy mechanism, because if direct (3) or cooperative (4) then Dcu = DZn

If markers move in then new sites are being created beyond markers with vacancy flow inwards


Brass - alloy of Cu/Zn

Concentration gradient exists between Cu and Cu/Zn -

Zn will diffuse out, ‘down’ the gradient’ as sample is heated for long periods of time.

What happens to the inert markers?

They move closer together the longer time goes on.

Conclusion: Zn diffuses faster than Cu.

Must be vacancy mechanism, because if direct (3) or cooperative (4) then Dcu = DZn

If markers move in then new sites are being created beyond markers with vacancy flow inwards

Direct vacancy mechanism is the predominant mechanism in solid state diffusion.


V


V

(r = d)


V

(r = d)


V

(r = d)

V

V


V

(r = d)

V

V

Ds can be thought of as an average mobility of indistinguishable particles.

Increased by increasing the hopping freqeuncy or the concnof vacancies


Migration energy DEm


Migration energy DEm

Elastic energy is required to distort lattice and allow atom to pass from site A through to an adjacent vacant site C.


Migration energy DEm

Elastic energy is required to distort lattice and allow atom to pass from site A through to an adjacent vacant site C.

The energy vs distance profile is a maximum at B, this is the migration energy, DEm . Or the ‘saddle point energy’.


Migration energy DEm

Elastic energy is required to distort lattice and allow atom to pass from site A through to an adjacent vacant site C.

The energy vs distance profile is a maximum at B, this is the migration energy, DEm . Or the ‘saddle point energy’.

Hopping frequency [v=voexp(- DEm / kT)] increases with temperature as the atom occupies vibrational states nearer the top of the well.


Migration energy DEm

Elastic energy is required to distort lattice and allow atom to pass from site A through to an adjacent vacant site C.

The energy vs distance profile is a maximum at B, this is the migration energy, DEm . Or the ‘saddle point energy’.

Hopping frequency [v=voexp(- DEm / kT)] increases with temperature as the atom occupies vibrational states nearer the top of the well.

Macroscopically this leads to an Arrhenian temperature dependence for D:


Migration energy DEm

Elastic energy is required to distort lattice and allow atom to pass from site A through to an adjacent vacant site C.

The energy vs distance profile is a maximum at B, this is the migration energy, DEm . Or the ‘saddle point energy’.

Hopping frequency [v=voexp(- DEm / kT)] increases with temperature as the atom occupies vibrational states nearer the top of the well.

Macroscopically this leads to an Arrhenian temperature dependence for D:

DI,v= Do exp(- DEm / kT)


Migration energy DEm

Elastic energy is required to distort lattice and allow atom to pass from site A through to an adjacent vacant site C.

The energy vs distance profile is a maximum at B, this is the migration energy, DEm . Or the ‘saddle point energy’.

Hopping frequency [v=voexp(- DEm / kT)] increases with temperature as the atom occupies vibrational states nearer the top of the well.

Macroscopically this leads to an Arrhenian temperature dependence for D:

DI,v= Do exp(- DEm / kT)

interstitials, vacancies


For interstitial diffusion:


  • For interstitial diffusion:

  • measure D as a function of temperature


  • For interstitial diffusion:

  • measure D as a function of temperature

  • Plot logeD vs 1/T


  • For interstitial diffusion:

  • measure D as a function of temperature

  • Plot logeD vs 1/T

gradient


  • For interstitial diffusion:

  • measure D as a function of temperature

  • Plot logeD vs 1/T

gradient

What about self-diffusion?


  • For interstitial diffusion:

  • measure D as a function of temperature

  • Plot logeD vs 1/T

gradient

What about self-diffusion?

Vacancy concentration vs temperature?


Temperature dependence of vacancy concn


Temperature dependence of vacancy concn

Large entropic TDS factor in DG promotes vacancy formation even though Evmay be large.


Temperature dependence of vacancy concn

Large entropic TDS factor in DG promotes vacancy formation even though Evmay be large.

There are very many ways to arrange a small number of vacancies over a very large number of lattice sites - See BH48


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

DEm+ Ev


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd

Cd2+replaces Na+ creating Na+ vacancies.


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd

Cd2+replaces Na+ creating Na+ vacancies.

At low temperatures this doping creates extrinsic vacancies.


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd

Cd2+replaces Na+ creating Na+ vacancies.

At low temperatures this doping creates extrinsic vacancies.

Number of thermally created vacancies is far less than extrinsic vacanciesat low temperature -> activation energy is simply DEm


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd

Cd2+replaces Na+ creating Na+ vacancies.

At low temperatures this doping creates extrinsic vacancies.

Number of thermally created vacancies is far less than extrinsic vacanciesat low temperature -> activation energy is simply DEm

At high temperatures, thermally created vacancies become important


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd

Cd2+replaces Na+ creating Na+ vacancies.

At low temperatures this doping creates extrinsic vacancies.

Number of thermally created vacancies is far less than extrinsic vacanciesat low temperature -> activation energy is simply DEm

DEm+ Ev

At high temperatures, thermally created vacancies become important

Activation energy is then DEm+ Ev


Two energetic factors controlling the temperature dependence of diffusion can often be separated.

Example: NaCl doped with Cd

Cd2+replaces Na+ creating Na+ vacancies.

At low temperatures this doping creates extrinsic vacancies.

Number of thermally created vacancies is far less than extrinsic vacanciesat low temperature -> activation energy is simply DEm

At high temperatures, thermally created vacancies beome important

Activation energy is then DEm+ Ev

D increases much more rapidlyas new vacancies are created.


Creation of a vacancy is a highly energetic process - breaking of all bonds and removal to the surface.


Creation of a vacancy is a highly energetic process - breaking of all bonds and removal to the surface.

In addition there is an associated volume expansion beyond that expected from the x-ray determined volume.


Creation of a vacancy is a highly energetic process - breaking of all bonds and removal to the surface.

In addition there is an associated volume expansion beyond that expected from the x-ray determined volume.

Nearly all atoms remain in register and there is some increase in the lattice spacing due to thermal expansion. The ‘ideal’ volume at any temperature can be determined from the lattice parameter at the same temperature


Creation of a vacancy is a highly energetic process - breaking of all bonds and removal to the surface.

In addition there is an associated volume expansion beyond that expected from the x-ray determined volume.

Nearly all atoms remain in register and there is some increase in the lattice spacing due to thermal expansion. The ‘ideal’ volume at any temperature can be determined from the lattice parameter at the same temperature

The real, macroscopic volume of a sample can also be measured…….


Very careful x-ray diffraction and dilatation experiments showed a difference between Da/a and Dl/l for aluminium


Very careful x-ray diffraction and dilatation experiments showed a difference between Da/a and Dl/l for aluminium

Extra volume is created by vacancies in the material


Very careful x-ray diffraction and dilatation experiments showed a difference between Da/a and Dl/l for aluminium

Extra volume is created by vacancies in the material

The nearer the melting point the greater the number of vacancies.


Random walk - > each hop is independent of the previous hop


Random walk - > each hop is independent of the previous hop

No ‘memory effect’


Random walk - > each hop is independent of the previous hop

No ‘memory effect’

Squared displacement


Random walk - > each hop is independent of the previous hop

No ‘memory effect’

Squared displacement

Diagonal and off-diagonal terms


Random walk - > each hop is independent of the previous hop

No ‘memory effect’

Squared displacement

Diagonal and off-diagonal terms

If motion is not random then the off-diagonal terms no longer sum to zero for a large number of hops.


Random walk - > each hop is independent of the previous hop

No ‘memory effect’

Squared displacement

Diagonal and off-diagonal terms

If motion is not random then the off-diagonal terms no longer sum to zero for a large number of hops.

They are correlated by a factor, f


Random walk - > each hop is independent of the previous hop

No ‘memory effect’

Squared displacement

Diagonal and off-diagonal terms

If motion is not random then the off-diagonal terms no longer sum to zero for a large number of hops.

They are correlated by a factor, f


Tracer diffusion is correlated (non-random) - why?


Tracer diffusion is correlated (non-random) - why?

Origin of the problem is distinguishable and indistinguishable particles


Tracer diffusion is correlated (non-random) - why?

Origin of the problem is distinguishable and indistinguishable particles

tracer atom has a higher probability of hopping back into a site it has just left because it is distinguishable.


Tracer diffusion is correlated (non-random) - why?

Origin of the problem is distinguishable and indistinguishable particles

tracer atom has a higher probability of hopping back into a site it has just left because it is distinguishable.

We call this a ‘correlation’ or a ‘memory effect’


Tracer diffusion is correlated (non-random) - why?

Origin of the problem is distinguishable and indistinguishable particles

tracer atom has a higher probability of hopping back into a site it has just left because it is distinguishable.

We call this a ‘correlation’ or a ‘memory effect’

Random walk of a tracer will be less than that of a self–diffusing atom by a factor, f.


f = 1 - 2/z


f = 1 - 2/z

Total displacement for n jumps (recall, d√n) for a tracer is less than for a true random walk because jumps are wasted back and forth on a site.


f = 1 - 2/z

Total displacement for n jumps (recall, d√n) for a tracer is less than for a true random walk because jumps are wasted back and forth on a site.

These hops do not contribute to the total displacement.


f = 1 - 2/z

Total displacement for n jumps (recall, d√n) for a tracer is less than for a true random walk because jumps are wasted back and forth on a site.

These hops do not contribute to the total displacement.

Self–diffusion constant, Ds= DT / f


f = 1 - 2/z

Total displacement for n jumps (recall, d√n) for a tracer is less than for a true random walk because jumps are wasted back and forth on a site.

These hops do not contribute to the total displacement.

Self–diffusion constant, Ds= DT / f

Tracer diffusion


  • Login