1. Introduction
The dependence of transport coefficients on the concentration of defects, applied stress, and nanostructure of the system allows new ways to achieve subtle and useful behaviors in energy management, thermal metamaterials, or thermal computation. uThis has given a strong impetus to defect engineering and nanoengineering to design and develop systems with suitable behaviors [
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12].
The aim of this paper is to analyze heat transport in superlattices with mobile point defects [
13,
14,
15,
16,
17,
18,
19] as a thermodynamic exploration of possible metamaterials with sophisticated transport properties. The model provides a particular illustration of a much more general set of transport equations for anisotropic materials, and uses the fact that thermal conductivity may be strongly reduced by the presence of small amounts of point defects. If such defects may move inside the material under the influence of a heat flux, and if material barriers to the motion of defects may be provided by the interfaces of the superlattice, heat transport becomes a strongly nonlinear phenomenon. This may be used to control heat transfer in the superlattice by using the feedback of nonequilibrium distribution of defects on the value of the thermal resistance, and may be used in some cases as the basis for thermal transistors [
20,
21,
22,
23].
Though we use the formalism of classical irreversible thermodynamics, with fluxes being linear functions of the thermodynamic forces, the concentration dependence of the thermal conductivity establishes a deep coupling between the dynamics of defects and the heat transfer behavior, leading to globally nonlinear behavior. In
Section 2, we present the model. In
Section 3, we explore the heat-flux dependence of the thermal resistance of the layers constituting the superlattice; and in
Section 4 we comment on possible applications of mobile defects as the basis for a thermal transistor. In
Section 5, we consider coupled longitudinal and radial effects, for the sake of generality.
Section 6 is devoted to conclusions and remarks.
2. The Model
We consider an elongated superlattice composed of alternating thin layers of materials A and B, see
Figure 1.
Other geometries could be considered, but we take the simplest one allowing for an anisotropic system characterized by a longitudinal direction and two transversal directions with definitely different properties.
In each layer of material (or in some specific layers of material), there is some concentration c of point defects. In the absence of heat flux, this concentration is supposed to be homogeneous inside each layer. Consecutive layers are separated by a material interface which puts some barriers to heat flow and to flow of defects. The presence of these defects is not a consequence of a deficient fabrication method, but it is artificially controlled in order to modify in suitable ways the thermal conductivity of the material in each layer.
Indeed, it is known that the thermal conductivity of a material may be much reduced by the presence of a small amount of defects. This is the basis of the so-called “defect engineering of materials” and it is a recent field of research with a number of potential applications, such as in thermal metamaterials, heat diodes and heat transistors, improved photovoltaic devices or light-emitting devices, and so on [
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12].
Here, we will assume that such defects may move inside the material when the material is imposed with nonequilibrium boundary conditions [
13,
14,
15,
16,
17,
18,
19]. In particular, we assume that they may move under the action of a heat flux—as the consequence, for instance, of some “phonon drag” phenomenon, or under an electric field, if the defects are charged.
The balance laws for specific internal energy
u and defect concentration
c are
where
is the temperature,
is the specific heat per unit volume (such that
), and
and
are the heat flux and the defect flow, respectively.
The classical entropy production per unit volume and time in a system with heat transport and defect transport is [
24,
25,
26,
27,
28,
29]
with
being the chemical potential of defects. This corresponds to the product of the fluxes of
u and
c times the gradients of the thermodynamic conjugates to
u and
c, namely,
and
. Following classical irreversible thermodynamics, we will assume that the fluxes
and
may be expressed as linear combinations of the thermodynamic forces
and
.
This may be written explicitly for longitudinal and radial components. Regarding the longitudinal components along the
z-axis, we have (see
Figure 2)
with
, and
being transport coefficients. The Onsager reciprocity relations state that the matrix of these coefficients must be symmetrical, i.e.,
Note that for some anisotropic systems a coupling between longitudinal and radial components is possible and it will be examined in
Section 5, but here we stick to the simplest case.
Now, we will rewrite (
3) in terms of
and of
by assuming that
so that
with
Then, (
3) becomes
where
is the thermal conductivity,
D is the diffusion coefficient of the defects, and
and
are the coupling coefficients between defect field and heat flow field. Comparing (
3) and (
5), it is seen that
and
.
Now, we assume that
depends on
T and on
c. Thus, the dynamics of
c will have an influence on the thermal conductivity. To explore this feature we rewrite (
5) as
where
is the drift velocity of defects under the action of a steady heat flux,
,
,
,
, and
is related to the phonon flow induced by the motion of defects.
These transport equations apply to each layer of the superlattice, but transport through the interfaces between layers of materials
A and
B must be described by their own laws specifying the interface [
1]. The equations are
Here,
and
are respectively the thermal boundary resistance of the wall and the resistance of the wall to the flow of defects through it [
1,
2]. We will assume for simplicity that the coefficients of the crossed coupling terms are zero, namely,
Later on, we will focus the attention on some particular expression for these transport coefficients. In summary, since
is a function of
and
c, the local motion of defects modifies the spatial distribution of
c and therefore the value of
.
4. Transversal Heat Transport: A Mathematical Model for a Defect-Based Thermal Transistor
Thermal transistors play, with respect to the heat flux, an analogous role to electronic transistors with respect to electric currents, namely, they may control and amplify a heat flux [
20,
21,
22,
23].
Currently, they may be useful for the control of heat flux in small scale devices. In the future, they could be the basis of logical gates and of thermal computers processing information in form of thermal signals. Several different strategies are being proposed to obtain heat transistors, namely, thermoelastic, electrochemical, thermoelectrical, and quantum—[
34,
35,
36,
37,
38], respectively. In this Section, we propose a further new strategy based on the heat-dependence of thermal resistance, that we have outlined in the previous Section, but used in a transversal way, rather than in a longitudinal way.
In our proposal, a thin layer of a material B containing mobile defects able to move along the layer, is sandwiched between two pieces of materials A and C. Part A is traversed by a heat flux
, perpendicular to the B thin layer, and along the layer B a heat flux
is injected. The total heat supplied to A and B per unit of time flows out of the system through part C. The heat flux
produces a drift of defects along the direction
, thus, the heat flux
B carries out a number of defects from region
B and, as a consequence, increases the thermal conductivity of layer
B. To make easier the removal of such defects while
is flowing, we make layer B a little bit longer (in the direction of
) than the width of sections A and C. Note that, in contrast to
Section 3, in the present Section, the defects are dragged in a direction transversal to the longitudinal axis of the superlattice.
In order for this system to be considered as a transistor, it is necessary that
This implies that the variations in the outgoing heat flow are amplified through variations of .
The equations describing the fluxes
and
between the positions characterized by temperatures
and
, and between
and
, respectively, (see
Figure 3) are
with
and
being the thermal resistances of
and of
C, respectively. In this simple formulation, we neglect the thermal resistances at the interfaces
and
, but there is not difficulty in incorporating them in a more accurate but more cumbersome analysis. Equations (
22) and (
23) follow from direct application of Fourier’s law. The new point is that
depends on the flux
.
The value of
is found from the steady-state condition
. This implies that
From here, for
as a function of
, one obtains
Introducing this expression for
into Equation (
22), one obtains
From here, the relation
may be obtained, taking into account that
depends on
, since an increase in
produces a decrease of
. From here, we obtain the amplification factor
with
standing for
. If
, (
27) reduces to
In our case, since
, and
(namely,
) decreases with an increase of
, one has
, and thus,
. From (
27), it follows that the amplification factor will be higher than 1 if
In order to modelize how
reduces the total concentration of defects in the layer
B, assume that the flux of defects is
with
giving the drift velocity of defects under the presence of a heat flow.
Thus, in steady state, we have
For , the concentration of defects is homogeneous in the layer B. The higher the q, the shorter the characteristic length , where the defects become concentrated. In our model, we propose that the layer B has a length wider than the width of A and C. In this way, a fraction of defects will accumulate in this extra zone, and will go out from the region where they reduce the heat flux. The effective concentration of defects in the zone of the heat flow will be reduced, and the reduction of thermal resistance for a given heat flux will be more effective the longer is the additional length d of the layer.
For the sake of a simple illustration, assume that
as it was been assumed in (
14).
In view of relation (
29), this means that the present model will work as a thermal transistor provided that
To have this behavior, it will be convenient that is high, D is low, and the additional depth d of layer B is relatively long.
5. General Case with Longitudinal and Transversal Components of q and J
In this Section, we will consider the additional possibility that a longitudinal heat flow produces not only a longitudinal drag of defects but also a transversal drag of defects. This is possible in some anisotropic materials. From the entropy production (
2), in classical nonequilibrium thermodynamics, the equations relating the fluxes
,
to their thermodynamic forces
and
, in the case where we consider the longitudinal and transversal components of these fields, see
Figure 1 and
Figure 4, we have
The Onsager reciprocity relations state that the matrix of these coefficients must be symmetrical, i.e., we have
Note that for some anisotropic systems, a coupling between longitudinal and radial components is possible. When radial effects are neglected, (
36) reduces to (
3).
Now, we will rewrite (
36) in terms of
and of
by assuming that
so that
with
Then, (
3) becomes
In a more compact version, we could write (
38) in a form analogous to (
6) but with matricial form of
,
,
and
, namely,
with
being the diffusion coefficient of defects and
giving the drift velocity of defects under the action of a steady heat flux.
These transport equations apply to each layer of the superlattice, but transport through the interfaces between layers must be described by their own laws specifying the interface. The equations are like (
7) and (
8), namely,
Here, and are respectively the thermal boundary resistance of the wall and the resistance of the wall to the flow of defects through it. We will assume for simplicity that Eventually, we considered that the transport coefficients depend on and i.e., we have Later on, we will specify some expressions for these transport coefficients.
We will assume that is very high, i.e., that the interfaces do not allow the flow of defects from one layer to the neighboring layers. This assumption is for the sake of simplicity, as it allows one to consider the motion of defects as localized to each particular layer.
We will consider that the whole system is submitted to a temperature difference along the long axis, namely, it is submitted to a temperature gradient which will depend on the position along the axis. Instead, the longitudinal heat flux will be constant along the axis in the steady state. After imposing our aim is to obtain the distribution of defects in each layer of the material and the feedback of this concentration on the thermal resistance of each layer.
To have a maximum simplicity, we consider a
imposed on the system and reduce the equations for
to
i.e., we assume that the radial gradient of
is negligible with respect to its longitudinal gradient along
z. In a steady state, the spatial distribution of defects inside a layer corresponding to
will be
We consider in more detail the equations for the defects as
where we assume that the radial gradient of concentrations is not necessarily negligible. The first terms on the right hand side of Equations (
44) and (
45) describe the motion of point defects produced by the heat flux, and the other two terms describe diffusion of defects in longitudinal and radial directions.
In terms of
(i.e., expressing
in terms of
) and in the steady state (
), Equations (
44) and (
45) may be rewritten as
with
being the components of the tensorial diffusion coefficient of point defects. From Equations (
46) and (
47), the spatial distribution of defects
in the steady state under the presence of heat flux
may be obtained. In fact, Equations (
46) and (
47) describe the transversal and longitudinal effect of heat flux on the point defects which are sketched in
Figure 1 and
Figure 2. Thus, the defects will also flow towards the lateral walls of the superlattice. Then, two effects will be competing in the modification of thermal resistance in terms of the heat flux: an increase due to longitudinal accumulation; and a decrease due to a radial accumulation near the walls. The examination of this situation is much more complex than in
Section 3.
6. Concluding Remarks
In this paper, we have worked out a simple transport equation to describe heat transfer in systems with mobile defects. The heat flux modifies the spatial distribution of defects, and the defects modify the thermal resistance of the layers and the interfaces, thus, influencing the heat flux itself. This is also found, for instance, in heat transport in turbulent superfluid helium, where the heat flux produces quantized vortices which contribute to the thermal resistance of the system [
39]. In particular, we have worked out a simplified model of how the effective thermal resistance of a layer of a thermal superlattice may depend on
as a result of
inducing a motion of point defects and that the defects are stopped at the interfaces. The effects found here could contribute to a relative stabilization of the heat flux, by reducing the variation of
following from a variation of the boundary temperature. Note that since
as
produce different nonequilibrium spatial distributions of the defects, this will imply some heat rectification. Furthermore, we have considered a possible thermal transistor, in which a transversal heat flux controls the thermal resistance through a spatial redistribution of defects. This suggests a new way of achieving thermal transistors, besides the ways previously suggested in the literature.
The effects proposed here could be reinforced by including temperature dependence of the concentration-dependent contribution to thermal conductivity (second term of Equation (
43)). If the contribution of
c is multiplied by an increasing function of temperature, the dependence of the thermal resistance of the defect layer will increase in a stronger way with increasing heat flux.
It is also interesting to note that the different behavior of the interface with respect to heat flux and defect flux breaks the Onsager reciprocity at a macroscopic level, though it remains valid at a microscopic level. Indeed, in (
23) we have assumed Onsager symmetry of the transport coefficients inside any layer of the superlattice. Thus, a temperature gradient contributes to a defect flux, and a concentration gradient contributes to a heat flux. However, since the interfaces allow a heat flux but not a defect flux through them, imposing a temperature gradient will not allow a defect flux in the steady state.