Abstract
The applicability of Fourier’s law to heat transfer problems relies on the assumption that heat carriers have mean free paths smaller than important length scales of the temperature profile. This assumption is not generally valid in nanoscale thermal transport problems where spacing between boundaries is small (<1 μm), and temperature gradients vary rapidly in space. Here we study the limits to Fourier theory for analysing threedimensional heat transfer problems in systems with an interface. We characterize the relationship between the failure of Fourier theory, phonon mean free paths, important length scales of the temperature profile and interfacialphonon scattering by timedomain thermoreflectance experiments on Si, Si_{0.99}Ge_{0.01}, borondoped Si and MgO crystals. The failure of Fourier theory causes anisotropic thermal transport. In situations where Fourier theory fails, a simple radiative boundary condition on the heat diffusion equation cannot adequately describe interfacial thermal transport.
Introduction
When heat carriers have mean free paths (MFP) shorter than important length scales of the temperature profile, heat transport is diffusive. When heat carriers have MFPs comparable to, or larger than, important length scales of the temperature profile, heat transport is ballistic. In nonmetals, the dominant heat carriers are phonons that have a broad spectrum of MFPs and frequencies^{1,2}. As a result, no single length scale describes the transition from diffusive to ballistic thermal transport. Instead, as length scales in a thermal transport problem decrease, Fourier theory has diminishing predictive power^{3,4,5,6,7}.
The breakdown of Fourier theory at small length scales has implications for nanoelectronics^{8} and nanostructured thermoelectric devices^{9} and has received a great deal of recent attention^{1,2,3,4,5,6,7,10,11,12,13,14}. For example, deviations between Fourier theory predictions and experimental data have been reported to depend on (1) the width of the nickel heater lines in nanofabricated Ni/sapphire samples^{7}, (2) the diameter of the heating pump laser beam, 2w_{0}, in timedomain thermoreflectance (TDTR) measurements of bulk Si between 30 and 100 K (ref. 4, 3) the spatial frequency of heating in thermal grating measurements of 400 nm thick Si membranes at 300 K (ref. 10) and (4) the frequency of periodic heating, f, in TDTR measurements of semiconductor alloys and some types of amorphous silicon between 80 and 420 K (refs 6, 15). In TDTR, and the related technique of frequencydomain thermoreflectance (FDTR), f sets the time interval over which heat travels and, therefore, controls an important length scale of the temperature profile. When heat flow is diffusive, this length scale is known as the thermal penetration depth, d_{p}=(Λ/πCf)^{1/2}, where Λ is the thermal conductivity and C is the volumetric heat capacity.
These experiments have greatly advanced understanding of thermal transport on nanometer to micron length scales. However, unresolved issues preclude a complete picture of when and how Fourier theory will fail in a nanoscale thermal transport problem. For example, why do deviations between TDTR data and Fourier theory predictions sometimes depend on f but not w_{0} (ref. 6), and other times on w_{0} but not on f (ref. 4)?
All prior TDTR and FDTR studies have interpreted data that deviates from Fourier theory predictions as phenomena intrinsic to the phonon dynamics of the material being studied and have neglected the role of the interface. TDTR and FDTR experiments require samples to be coated with a thin metal film to serve as an optical transducer, introducing a metal/sample interface to the heat transfer problem. The interface causes a thermal resistance due to the reflection/transmission of phonons, that is, interfacialphonon scattering^{16}. This thermal resistance is typically described with a radiative boundary condition on the heat diffusion equation, known as the interfacial thermal conductance^{17}. This description implicitly assumes the temperature is well defined at each side of the interface and that all phonons in the solid are in equilibrium with each other at all distances from the interface. Whether this assumption is justified in nanoscale thermal transport problems has long been controversial^{18}, but it is particularly suspect in experiments where a significant fraction of heatcarrying phonons are ballistic. Despite this, experiments that cannot be explained using a radiative boundary condition for heat transfer at the interface are rare^{5}.
Here, we report the results of three sets of experiments that examine how the failure of Fourier theory in TDTR experiments relates to the MFP distributions in solids and the transport properties of the metal/sample interface. In our first set of experiments, we perform TDTR measurements of Si at room temperature with offset pump and probe beams, allowing for the independent determination of the throughplane and inplane thermal conductivities^{19}. The beamoffset measurements demonstrate that varying w_{0} in a TDTR experiment more strongly affects the applicability of Fourier theory in the inplane direction. In our second set of experiments, we perform TDTR measurements of Si, Si_{0.99}Ge_{0.01} and Si heavily doped with boron (Si:B) as a function of w_{0}, f and temperature. The Ge in Si_{0.99}Ge_{0.01} preferentially scatters highfrequency phonons due to mass disorder^{20}, while the boron in Si:B preferentially scatters lowfrequency phonons due to hole/phonon scattering^{21}. As a result, the MFP distributions are systematically different in Si, Si_{0.99}Ge_{0.01} and Si:B, allowing us to relate differences in the phonon dynamics to differences in how Fourier theory fails. We posit that the thermal diffusivity of highwavevector phonons determines whether a failure of Fourier theory is observable in TDTR experiments as a function of f or w_{0}. In materials whose highwavevector phonons have a low thermal diffusivity, Fourier theory fails more readily as a function of f than w_{0}. In materials whose highwavevector phonons have high thermal diffusivity, Fourier theory fails as a function of w_{0}. In our third set of experiments, we show treating interface transport with a radiative boundary condition on the heat diffusion equation can be an inadequate description when length scales of the temperature profile are comparable to phonon MFPs.
A secondary goal of our work is to describe a ballistic/diffusive thermal model capable of explaining (1) why the failure of Fourier theory is anisotropic and (2) how interfacialphonon scattering impacts the accuracy of Fourier theory predictions. Fourier theory fails in TDTR experiments because Fourier’s law is unable to predict the heat current, J, due to long MFP phonons near temperatureprofile minima and maxima (extrema). Fourier’s law fails near temperatureprofile extrema because it uses a firstorder Taylorseries approximation for the temperature profile that is particularly inaccurate in proximity to locations where ∇T changes sign.
Results
Anisotropic failure of Fourier theory in Si
For TDTR measurements of Si at room temperature with w_{0}<5 μm, we observe discrepancies between Fourier theory predictions and experimental data^{22}, see Fig. 1. From our TDTR data, we derive an apparent thermal conductivity, Λ_{A}, and an apparent interface conductance, G_{A}, for each measurement by fitting the data with an isotropic diffusive model^{19,23} that treats the Λ of Si, and interfacial thermal conductance between Al and Si, G, as fitting parameters. G_{A} is the value for G that produces the best fit to the shape of decay of T_{in} with pumpprobe delay time, t_{D}. Λ_{A} is the value for Λ that produces the best fit to the outofphase temperature response, T_{out}.
Beamoffset measurements, see Fig. 1b, suggest that Fourier theory overpredicts the thermal response of Si for a measurement with w_{0}≈1.05 μm and f=9.8 MHz because Fourier theory overpredicts the inplane component of the heat current, J_{r}. In other words, the solution of the heat diffusion equation with an isotropic thermal conductivity of Λ_{A}=105 W m^{−1} K^{−1} overpredicts the amplitude of the thermal response away from the centre of the pump beam. If we instead fit the data with an anisotropic model^{19} that treats the throughplane and inplane thermal conductivities, Λ_{z} and Λ_{r}, as independent fitting parameters, we find Λ_{z}≈140 W m^{−1} K^{−1} and Λ_{r}≈80 W m^{−1} K^{−1}. The heat current has two directional components, throughplane and inplane; therefore, we can only define apparent thermal conductivities for these directions. Adding additional fitting parameters cannot improve the fit because the fit is already excellent.
That Fourier theory fails anisotropically helps resolve how prior TDTR studies of Fourier theory failure relate to each other. Prior studies that observed a dependence of Λ_{A} on f studied low Λ materials, such as semiconductor alloys and aSi (refs 6, 15). These TDTR measurements observed a failure of Fourier theory in the throughplane direction because d_{p}≪w_{0}, meaning the inplane heat current was negligible. On the other hand, the observation of Minnich et al.^{4} that Λ_{A} of Si depends on w_{0} below 100 K was related to a failure of Fourier theory in the inplane direction. That Fourier theory fails anisotropically has direct implications for the interpretations of prior experiments that assumed Fourier theory failed isotropically in threedimensional heattransfer problems^{1,4,7,24}, see Supplementary Note 1 and Supplementary Figs 1 and 2.
Failure of fourier theory in Si, Si:B and Si_{0.99}Ge_{0.01}
Comparisons between measurements of Si, Si:B and Si_{0.99}Ge_{0.01} allows us to study how Fourier theory failure in TDTR experiments relate to differences in MFP distributions because hole/phonon and pointdefect/phonon scattering produce controlled differences in the MFP distributions of these materials^{21}. We quantify the impact of hole/phonon and pointdefect/phonon scattering on the Λ of Si with thermal conductivity relaxation time approximation (RTA) models for Si, Si:B and Si_{0.99}Ge_{0.01} (see Supplementary Methods).^{25} By RTA, we mean that we assume all scattering can be combined into a single frequencydependent relaxationtime using Matthiessen’s rule, ignoring that normal phonon/phonon scattering is not resistive in isolation from other scattering mechanisms^{26}. Our RTA models compare favourably to firstprinciples calculations^{20,27,28}, see Fig. 2 and Supplementary Fig. 3.
The RTA model results for Si, Si:B and Si_{0.99}Ge_{0.01} are shown in Fig. 2 three ways: the thermal conductivity accumulation function, the heat capacity spectral distribution and the thermal conductivity spectral distribution. The thermal conductivity accumulation function is the cumulative contribution to the heat current from phonons with a MFP less than L (ref. 2),
where j sums over all three polarization branches, Λ_{B} is the bulk thermal conductivity, ℓ is the MFP and v is the group velocity. The heatcapacity spectral distribution is
where k_{B} is Boltzmann’s constant, D(q) is the density of states and n(q) is the occupation number. The thermal conductivity spectral distribution, λ(q), quantifies the heat carried by phonons with wavevector q,
where τ(q) is the relaxation time.
In our discussion below, we refer to differences in λ(q) for high and lowwavevector phonons in different materials. We define high/lowwavevector phonons as those with a q larger/smaller than q_{0}≈0.4q_{max} in Si and Si:B and q_{0}≈0.25q_{max} in Si_{0.99}Ge_{0.01}. This definition of q_{0} is chosen so that ℓ(q_{0}) at room temperature is less than d_{p}(20 MHz)/5 so that all highwavevector phonons have MFPs much shorter than the minimum length scales of the temperature profile. This definition for high/lowwavevector phonons leaves the majority of the total heat capacity (>90%) with highwavevector diffusive phonons (Fig. 2b), meaning the mean occupation of the highwavevector phonons defines the temperature profile of the solid. We choose to frame our discussion in terms of high/lowwavevector phonons instead of short/long MFPs because several of our conclusions are based on comparing results for materials with controlled differences in λ(q<q_{0}) and λ(q>q_{0}).
At room temperature, Fourier theory accurately predicts the thermal response of Si and Si:B up to f=17.6 MHz, but inaccurately predicts the thermal response of Si_{0.99}Ge_{0.01}, see Fig. 3a. (Fig. 3a also includes measurements of Λ_{A}(f) for Si_{0.2}Ge_{0.8} and Ge that are relevant to results presented in the next section but are not discussed here.) Phonons with ℓ>d_{p} (17.6 MHz) carry 50 W m^{−1} K^{−1} of heat in Si and 30 W m^{−1} K^{−1} in Si_{0.99}Ge_{0.01} (Fig. 2a), making it difficult to explain the different behaviours for Λ_{A}(f) as only a lengthscale effect. The most significant difference between Si and Si_{0.99}Ge_{0.01} is λ(q) for q>q_{0} (Fig. 2c). Therefore, we suggest a second important factor in observing a failure of Fourier theory in the throughplane direction, aside from lowwavevector phonons with MFPs longer than experimental length scales, is for highwavevector phonons to have a small thermal conductivity, , and therefore small thermal diffusivity.
Prior experimental studies that observed a dependence of Λ_{A} on f emphasized the importance of temperature profile length scales being comparable to MFPs^{1,6,24}. As we demonstrate in more detail in subsequent sections, another factor causing Λ_{A} to deviate from Λ_{B} in the throughplane direction is interfacialphonon scattering. The interfacialphonon scattering of long MFP phonons reduces the effective thermal conductivity, K_{z}(z)=J_{z}(z)/∇_{z}T(z), of the sample near the interface, analogous to how boundary scattering reduces Λ of nanostructured materials^{2}. (Here, we use a different symbol for thermal conductivity, K instead of Λ, to distinguish this effective property from the apparent values defined earlier.) The dependence of Λ_{A} on f is evidence that the interfacial thermal resistance is not isolated to the interface at z=0 as is assumed in standard analysis of TDTR and FDTR experiments.
An equivalent way to consider the effect of the interface is as a boundary condition on the heat current. The spectral distribution of the heat current across the interface is proportional to v(q)c(q) (ref. 17), while the spectral distribution of the heat current in the solid is λ(q). This creates a spatial mismatch in the spectral distribution of the heat current, resulting in a nonequilibrium between high and lowwavevector phonons near z=0. We label this effect as an interfacial nonequilibrium thermal resistance, G_{NE}^{−1}. G_{NE}^{−1} quantifies the resistance between the highwavevector phonons that carry the heat across the interface and the lowwavector phonons that carry the heat in the solid.
In this context, the thermal diffusivity of highwavevector phonons affects Λ_{A}(f) two ways. A small value for corresponds to a larger G_{NE}^{−1} (ref. 3). In addition, a small thermal diffusivity increases the measurement sensitivity to K_{z} near z =0, where the high and lowwavevector phonons are not in equilibrium. The dependence of Λ_{A} on f occurs because the sensitivity to G_{NE}^{−1}, which is localized near z=0, increases with increasing f and shorter d_{p}. The predictions of a ballistic/diffusive model (described in Methods) that accounts for both shortened length scales and interfacialphonon scattering is in reasonable agreement with our data (solid lines in Fig. 3a). In our ballistic/diffusive model, the heat current from lowwavevector phonons is calculated with a nonlocal expression that reduces to Fourier’s law if MFPs are shorter than the temperature profile length scales. The model makes no assumptions regarding how lowwavector phonon MFPs compare with temperature profile length scales. Supplementary Figure 4 shows how interfacial/phonon scattering and f control the K_{z}(z) predicted by our ballistic/diffusive model.
At room temperature, Fourier theory does not accurately predict the thermal response of Si and Si:B for spot sizes below 5 μm, see Fig. 3b. Beamoffset measurements of Si:B and Si at f=9.8 MHz yield Λ_{r}≈74±10 W m^{−1} K^{−1} and Λ_{r}≈84±10 W m^{−1} K^{−1} at w_{0}=1 μm, respectively. Alternatively, we can resolve no dependence of Λ_{A} on w_{0} in Si_{0.99}Ge_{0.01}, despite ≈25 W m^{−1} K^{−1} of heat being carried by phonons with ℓ>w_{0} (Fig. 2a). For comparison, Si and Si:B have ≈50 and 25 W m^{−1} K^{−1} of heat carried by phonons with ℓ>w_{0}.
The lack of a spotsize dependence for Λ_{A} of Si_{0.99}Ge_{0.01} suggests a second condition for an observable failure of Fourier theory in the inplane direction, aside from lowwavevector phonons having ℓ>w_{0}, is for highwavevector phonons to have a large Λ_{0} and therefore high thermal diffusivity. TDTR measurements are more sensitive to K_{r}(r≈w_{0})=J_{r}(r≈w_{0})/∇_{r}T(r≈w_{0}) in high thermal diffusivity materials where the following condition is met: the magnitude of J_{r}(r≈w_{0}) is comparable to the average magnitude of J_{z} across 0<z<d_{p}. Making w_{0} small enough to meet this condition in low thermal diffusivity materials is challenging given diffraction constraints on w_{0}, but we expect that Λ_{A} for Si_{0.99}Ge_{0.01} would be reduced at smaller spot size. The predictions of our ballistic/diffusive model are in reasonable agreement with our data (solid lines Fig. 3b).
The temperature dependence of λ(q) in Si, Si:B and Si_{0.99}Ge_{0.01} are systematically different. Therefore, varying the ambient temperature offers another avenue for relating Fourier theory failure in TDTR experiments to λ(q). In Si, both λ(q>q_{0}) and ℓ(q<q_{0}) increase rapidly with decreasing temperature. In Si_{0.99}Ge_{0.01}, mass disorder prevents a large increase in λ(q>q_{0}) with decreasing temperature. In Si:B, holephonon scattering prevents a large increase in ℓ(q<q_{0}) with decreasing temperature.
Figure 4 shows measurements of Λ_{A}(w_{0}) for Si, Si:B and Si_{0.99}Ge_{0.01} between 40 and 300 K. In Si, the spotsize dependence of Λ_{A} is large, but the frequency dependence between 1 and 10 MHz is insignificant. We credit the increase in the spotsize dependence of Λ_{A} as temperature decreases to large increases in both the thermal diffusivity of highwavevector phonons and the MFPs of lowwavevector phonons. The longer MFPs of lowwavevector phonons increases the percentage of ballistic phonons. The increase in thermal diffusivity increases measurement sensitivity to J_{r} and decreases measurement sensitivity to K_{z} near the interface. In Si:B, Λ_{A} is weakly dependent on w_{0} and has no observable f dependence because holephonon scattering prevents a rapid increase in ℓ(q<q_{0}). The similarity in the temperature dependence of Λ_{A} for Si versus Si:B supports the hypothesis that when w_{0} is small, Fourier theory is over predicting the heat current from long MFP phonons, as Minnich et al.^{4} posited.
In Si_{0.99}Ge_{0.01}, Λ_{A} below 100 K does not approach the prediction of the RTA model for Λ_{B} at any w_{0} or f, indicating that Fourier theory is grossly inaccurate for this heat transfer problem because the majority of heatcarrying phonons have MFPs longer than temperature profile length scales. We attribute the increase in spotsize dependence of Λ_{A} for Si_{0.99}Ge_{0.01} with decreasing temperature to a rapid increase of ℓ(q<q_{0}), along with the more slowly increasing thermal diffusivity of lowwavevector phonons.
Beamoffset measurements confirm the failure of Fourier theory is anisotropic at low temperatures. For example, fitting beamoffset data for Si at 77 K, 9.8 MHz and w_{0}=4.7 μm yields Λ_{z} ≈900 and Λ_{r} ≈300 W m^{−1} K^{−1}. Similarly, fitting beamoffset data for Si_{0.99}Ge_{0.01} at 120 K, 1.1 MHz and w_{0}=5 μm yields Λ_{z}≈50 and Λ_{r}≈30 W m^{−1} K^{−1}.
Our results for Λ_{A} of Si agree with ref. 4 if compared as a function of the root mean square of the pump and probe spot sizes, but not if compared as a function of only pump spot size. (Our pump and probe spot sizes are equal, but ref. 4 used different pump and probe spot sizes.) In a linear heat transfer problem, an exchange symmetry exists between thermometers and heaters. Therefore, the TDTR measured thermal response must by symmetric to the exchange of the pump and probe beams. The exchange symmetry between thermometers and heaters exists because a linear problem can be solved with a Green’s function solution, g(ρ,t;ρ′t′), where ρ demarks position, and Green’s functions possess the following symmetry: g(ρ,t;ρ′t′)=g(ρ′,−t′;ρ,−t) (ref. 29). That the length scale that governs Λ_{A} includes the probe spot size is an important result, as any theoretical effort to derive MFP distributions from Λ_{A}(w_{0}) ignoring probe spot size is incomplete.
In addition to the experiments described above, we collected FDTR data for Si at room temperature between 1.1 and 17.6 MHz with w_{0}=2.55 and 4.7 μm. Our FDTR data agree with the predictions of a thermal model using the Λ_{A}and G_{A} derived from TDTR data collected at the same w_{0} (see Supplementary Fig. 5). Our FDTR results therefore strongly disagree with BBFDTR measurements of a Au/Cr/Si sample in the same frequency range^{1}. We attribute the discrepancy to ref. 1 neglecting weak Au electron–phonon coupling in their data analysis, see Supplementary Note 2 and Supplementary Fig. 6.
Role of the interface
Standard analysis of TDTR and FDTR data treats interfacial transport with a radiative boundary condition on the heat diffusion equation, J_{z}(z=0)=G_{0}ΔT(z=0), where G_{0} is the interface conductance of diffusive phonons^{17},
Here, R_{j} is the probability that a phonon with polarization j impinging on the interface from the sample side reflects and is believed to be determined by interfacial bonding strength, interface disorder and morphology and the vibrational properties of both the sample and metal transducer^{16,30}. Using equation (4) assumes that the thermal resistance from interfacial/phonon scattering is localized to z=0, not spread across a finite length scale determined by phonon MFPs. This assumption is overly simplistic; interfacial/phonon scattering should affect the heat current over a length scale comparable to the MFPs of the heatcarrying phonons.
Measurements of G_{A} for Si, Si_{0.99}Ge_{0.01}, Si_{0.2}Ge_{0.8} and Ge crystals coated with Al after native oxide removal demonstrate that equation (4) is an inadequate description of interface transport for Al/Si_{0.99}Ge_{0.01} and Al/Si_{0.2}Ge_{0.8}. The measurement results, shown in Fig. 5, have two features inconsistent with the description offered by equation (4): the dependence of G_{A} on f and the significant differences between G_{A} of Si versus Si_{0.99}Ge_{0.01} and of Si_{0.2}Ge_{0.8} versus Ge.
The dependence of G_{A} on f for Si_{0.99}Ge_{0.01} and Si_{0.2}Ge_{0.8} is consistent with a reduced effective thermal conductivity of the sample, K_{z}=J_{z}/∇_{z}T, near the interface due to an interfacial nonequilibrium thermal resistance, G_{NE}^{−1}. For each TDTR measurement, we have two pieces of data that determine G_{A} and Λ_{A}: the shape of decay of T_{in}(t_{D}) and the magnitude of the outofphase thermal response, T_{out} (Fig. 1). The shape of the decay of T_{in}(t_{D}) depends on G and . Here, δ is the distance heat travels in 3.5 ns, the maximum delay time. T_{out}, which determines Λ_{A}, depends on the average value of K_{z} over the distance heat travels in 1/f, . As f increases, T_{out} becomes more sensitive to because d_{p} decreases, and therefore Λ_{A} decreases (Fig. 3). In the thermal model we use to derive Λ_{A} and G_{A} (ref. 23), we assume solid Λ is homogenous, that is, that . If this is false, the only way the diffusive thermal model can still fit the frequencyindependent shape of T_{in}(t_{D}), which it must to fit the data, is for G_{A} to depend on f. Therefore, the dependence of G_{A} on frequency suggests an inhomogenous K_{z}(z). G_{A} and Λ_{A} that increase and decrease, respectively, with increasing frequency suggests K_{z}(z<δ)<Λ_{A} and G_{0}>G_{A}, consistent with the ballistic/diffusive model predictions (Supplementary Fig. 4).
The large differences in the magnitude of G_{A} for Si, Si_{0.99}Ge_{0.01}, Si_{0.2}Ge_{0.8} and Ge are consistent with our hypothesis that a G_{NE}^{−1} is related to observations of Fourier theory failure in the throughplane direction^{3}. In most TDTR experiments, d_{p} is much larger than the length scale of the nonequilibrium near the interface^{3}, and therefore G_{NE}^{−1} causes a reduced value of G_{A} in addition to any reduced value of Λ_{A}. Our ballistic/diffusive model predicts G_{NE}^{−1} is largest, and therefore G_{A} will be smallest, for materials whose highwavevector phonons have small Λ_{0}. This is consistent with our results: G_{A} for Si_{0.2}Ge_{0.8} is smaller than G_{A} for either Ge or Si, G_{A} for Si_{0.99}Ge_{0.01} is smaller than G_{A} for Si.
To summarize, we explain the difference in magnitude and convergence/divergence of G_{A}(f) for Si versus Si_{0.99}Ge_{0.01} and Ge versus Si_{0.2}Ge_{0.8} with a G_{NE}^{−1} whose length scale and magnitude are largely independent of f. What changes with f is measurement sensitivity. The magnitude of G_{NE}^{−1} is included in the value of G_{A} of the alloys at low f (Fig. 5), but moves to Λ_{A} at high f (Fig. 3) because d_{p} becomes comparable to the length scale of nonequilibrium.
Thus far, we have posited that interfacialphonon scattering is related to observations of Fourier theory failure in the throughplane direction based on results for Λ_{A} and G_{A} of SiGe alloys. Now, we present another set of experiments that supports this hypothesis: measurements of Λ_{A} for Si and MgO at low temperature with different metal transducers and interface conditions.
In Fig. 6, we show the impact of the interface on Λ_{A} of Si at 300 K and w_{0}=10.3 μm. For w_{0}=10.3 μm, J_{r}≪J_{z}, and therefore Λ_{A}≈Λ_{z}. TDTR measurements of Al/11 nm SiO_{2}/Si and Ta/2 nm SiO_{2}/Si show Λ_{A} values that deviate outside our error bars from the bulk thermal conductivity value for Si of 142 W m^{−1} K^{−1} (refs 22, 31).
In Fig. 7, we compare the effect of the interface and spot size for Si and MgO at 48, 83 and 144 K. The magnitude of transducer dependence of Λ_{A} for both Si and MgO at these temperatures is on the order of 100 W m^{−1} K^{−1}. In MgO, this is an ~30% change, comparable to the effect of changing from a 25 to 5 μm spot size. The large transducer dependence in MgO is evidence that significant heat is carried by nondiffusive phonons, and that Ta serves as a better thermal sink for these phonons than Al does (see Supplementary Note 3).
Importance of temperatureprofile extrema
Here, we use our ballistic/diffusive model, described in equations (5)–(10), , , , , of Methods, to gain insight into the anisotropic failure of Fourier theory in TDTR measurements. The predictions of the ballistic/diffusive model support our conclusions that (1) the Fourier theory failure in TDTR experiments at small spot sizes is due to an inability of Fourier’s law to accurately predict J_{r} and (2) K_{z} is lowered near the interface because of interfacialphonon scattering.
A simple approach for determining whether Fourier theory is accurate for a given heat transfer problem is to compare the predictions of ballistic and diffusive expressions for the heat current. In Fig. 8, we compare the predictions of diffusive and ballistic expressions for the heat current (Fourier’s law and equation (9) in Methods) for the measurement of Al/Si shown in Fig. 1. For these calculations, we approximate the temperature profile by solving the heat diffusion equation using an Al/Si interface conductance of G_{0}=250 MW m^{−2} K^{−1} and thermal conductivity of Si of Λ_{B}=142 W m^{−1} K^{−1}. This represents the expected temperature profile if Fourier theory did not fail at small w_{0}.
Fourier’s law fails most significantly near temperatureprofile extrema for three types of long MFP subpopulations of the Si phonons (Fig. 8a–d): (1) phonons travelling in opposite directions in the inplane direction across r=0, (2) phonons travelling in opposite directions in the throughplane direction that reflect at the interface at z=0 and (3) phonons travelling in opposite directions in the throughplane direction that transmit across the interface at z=0. The firstorder Taylor series approximation of the temperatureprofile Fourier’s law uses is grossly inadequate for cases (1) and (2) due to the sign change of dT/dr at r=0 and dT/dz at z=0. (The plane of z=0 is a virtual extrema in the throughplane direction because reflected phonons see a mirror image of the temperature profile.) As a result, Fourier’s law over predicts the heat current from phonons described by cases (1) and (2). Fourier’s law is also inaccurate for phonons travelling in the throughplane direction that transmit at the interface, case (3). However, the underprediction of the heat current is less than in cases (2) and (3), because this group of phonons still see a significant temperature difference, . While Fig. 8b–d only illustrates the failure of Fourier’s law for phonons with a MFP of 2 μm at two specific positions, the illustrations in Fig. 8b–d are representative of why Fourier theory fails near temperatureprofile extrema.
The illustrations in Fig. 8 qualitatively explain why the failure of Fourier theory is anisotropic in TDTR measurements of Si even when w_{0} and d_{p} are comparable. The majority of phonons with MFPs longer than the inplane length scale traverse the hot region without scattering (Fig. 8b), meaning these phonons won’t carry significant heat. In contrast, a significant percentage of long MFP phonons, 1−R, travelling in the throughplane direction are emitted from or absorbed in the hot metal film, (Fig. 8d), and will therefore carry significant heat.
Because Fourier’s law overpredicts J_{r} near r=0 (Fig. 8b), and overpredicts J_{z} near z=0 for phonons that reflect from the interface (Fig. 8c), the failure of Fourier theory is anisotropic, spatially inhomogeneous, and depends on the probability of phonons reflecting from the interface. We show this in Fig. 8e–h by comparing the average heat current magnitude from phonons with a 1 μm MFP predicted by Fourier’s law to the predictions of our ballistic/diffusive model in the adiabatic (R=1) and radiative (R=0) limits. In Supplementary Note 4, we discuss how altering w_{0} and f has the dual effect of changing length scales and measurement sensitivity to nonequilibrium near extrema.
Discussion
Our ballistic/diffusive model predicts that the spectral distribution of heat carried by lowwavevector ballistic phonons, J_{NL}, is not equal to λ(q<q_{0}) within a length scale of the interface comparable to ℓ because of interfacialphonon scattering. For sufficiently short throughplane length scales of the temperature profile, TDTR is sensitive to this region where the spectral distribution of J_{NL} is not equal to λ(q<q_{0}), explaining the dependence of Λ_{A} on f in alloys.
Prior TDTR and FDTR studies have explained deviations between Λ_{A} and Λ_{B} by assuming phonons with MFPs longer than some experimental length scale are ballistic and do not contribute to Λ_{A} (refs 1, 6, 11). This is equivalent to the explanation offered by our ballistic/diffusive model in the limit that TDTR is measuring K_{z}(z<ℓ), that is, the throughplane temperature profile length scale is less than ℓ, and the heat carried by diffusive phonons is much greater than the heat carried by ballistic phonons, Λ_{0}∇T≫J_{NL}, where Λ_{0} is the thermal conductivity of the highwavevector diffusive phonons.
Whether the condition that Λ_{0}∇T≫J_{NL} is met depends on the phonon dynamics of the material being studied. The amount of heat carried by ballistic phonons in the throughplane direction near the interface, J_{NL} (0<z<ℓ), depends on the spectral distribution of c(q)v(q) for lowwavevector ballisticphonons (see equations (9) and (10) in Methods), while Λ_{0} depends on λ(q) for highwavevector diffusive phonons. For materials like Si_{0.2}Ge_{0.8}, where only phonons with q<0.1q_{max} have MFPS longer than the length scales of the temperature profile, the assumption that Λ_{0}∇T≫J_{NL} is reasonable since phonons with q<0.1q_{max} have little heat capacity (Fig. 2b). In materials such as Si, Si_{0.99}Ge_{0.01} and MgO, where the majority of heat is carried by phonons with q<0.1q_{max}, significant deviation from Fourier theory implies phonons with a nonnegligible c(q)v(q) are ballistic. Therefore, J_{NL} may or may not be negligible depending on Λ_{0} and R.
Our results are relevant for efforts to use TDTR and FDTR as a MFP spectroscopy technique^{1,4,24}. Observations of Fourier theory failure in the throughplane and inplane direction are both sensitive to the MFP distribution of solids (Fig. 8h). In materials where a measurement of Λ_{r} is possible with laser spot sizes on the order of microns, for example, materials with a high thermal diffusivity, it will be simpler to extract information concerning MFP distributions from measurements of Λ_{r}(w_{0}) rather than measurements of Λ_{z} because J_{r} is less sensitive to interface effects than J_{z}. That J_{r} is less sensitive to R than J_{z} can be seen in Fig. 8f–h. For example, the difference between the adiabatic and radiative limits for J_{z} in Fig. 8h is much larger than for J_{r}. That interfacialphonon scattering impacts J_{r} less than J_{z} is analogous to boundary scattering having less impact on the inplane Λ of a thin film than on the throughplane Λ^{2}.
Our study provides insight into a long standing issue regarding the definition of temperature and phonon mediated heat transfer across interfaces^{18}. The concept of an interfacial thermal conductance implies an abrupt temperature drop at crystal boundaries, which is consistent with molecular dynamics simulations that define the temperature of individual atoms with their kinetic energy. However, whether an equilibrium concept such as temperature can be rigorously defined on length scales shorter than the MFPs of heatcarrying phonons has long been controversial^{18}. Our ballistic/diffusive framework offers insight into this dilemma. Highwavevector phonons are in thermal equilibrium with each other on short length scales, and it is primarily the occupation of highwavevector phonons that determine the kinetic energy of atoms (Fig. 2b). Molecular dynamics simulations are measuring G_{eff}=J_{z}/ΔT_{z=0}, which is different from G_{A} when G_{A} includes a significant interfacial nonequilibrium thermal resistance, G_{NE}^{−1}, as is the case for SiGe alloys.
In conclusion, we performed TDTR experiments on Si, Si_{0.99}Ge_{0.01}, Si:B and MgO as a function of w_{0}, f and temperature. These experiments provide three insights into how Fourier theory fails in TDTR experiments. First, in measurements with small w_{0}, the primary effect of the small spot size is to cause a failure of Fourier theory in the inplane direction. Second, the thermal diffusivity of highwavevector phonons determines whether measurements can resolve a failure of Fourier theory in the inplane or throughplane directions for f<20 MHz and w_{0}>1 μm at room temperature. Third, an interfacial thermal conductance is not adequate in a ballistic/diffusive heat transfer problem. To accurately describe the effect of the interface on ballistic/diffusive heat transfer problems, it is necessary to consider how the reflection and transmission of phonons prevents thermal equilibrium between heatcarrying phonons near the boundary (Fig. 8c,d).
While this paper was under review, a paper was published by Ding et al.^{32} theoretically examining threedimensional heattransfer in an Al/Si sample on timescales between 1 ps and 1 ns using the Boltzmann transport equation. Their model indicates that only J_{r}, and not J_{z}, is affected by a reduced spot size, consistent with our beamoffset measurements (Fig. 1); however, their model’s prediction that interfacial scattering does not affect J_{z} appears inconsistent with our experimental observations that the interface plays an important role in throughplane transport (Figs 5, 6, 7).
Methods
Experiment
In TDTR, the thermal response of a sample to a train of pump pulses periodically modulated at frequency f is characterized by measuring temperatureinduced changes in the intensity of a reflected probe beam^{23}. The experimental data consists of the inphase and outofphase voltages recorded by a Si photodiode connected to an RF lockin that picks out the signal components at the pump modulation frequency f. In our implementation of TDTR, the pump and probe spot sizes are equal. Temperature oscillations that are inphase with the pump beam, T_{in}, are to a good approximation the timedomain response to pulsed heating. Temperature oscillations that are outofphase with the pump beam, T_{out}, are, to a good approximation, the outofphase thermal response of the sample at frequency f. Since most of the sensitivity of a TDTR measurement to the thermal properties of a sample comes from T_{out}, 1/f is the most important timescale in our experiment. Example TDTR data is shown in Fig. 1a. The parameters Λ_{A} and G_{A} are convenient proxies for our data that represent how much our measurements deviate from the predictions of Fourier theory (Fig. 1a). We do not view Λ_{A} and G_{A} as effective thermal properties when they depend on f or w_{0}. In other words, the solution to the heat diffusion equation with Λ=Λ_{A} and G=G_{A} is only an accurate description of the surface temperature, not the entire temperature profile. Further details of our technique can be found in refs 19, 23 and ^{33}.
For TDTR measurements with laser beams that have 1/e^{2} radii less than 5 μm, in situ measurements of the beam intensity profiles on the sample were necessary to prevent systematic errors in w_{0} that can cause result in spot size and frequencydependent Λ_{A} values^{19}.
When performing FDTR measurements, our experimental setup remains nearly the same as for TDTR measurements; however, the Ti:sapphire oscillator used to generate the train of pump and probe pulses is dropped out of mode lock, thereby replacing the train of pulses with a CW beam.
Si and MgO samples were prepared with different surface treatments and different metal film coatings. The geometry of the samples that were characterized are Al/2 nm SiO_{2}/Si, Al/11 nm SiO_{2}/ Si, Ta/2 nm SiO_{2}/Si, Ta/Si, Al/3 nm SiO_{2}/Si_{0.99}Ge_{0.01}, Ta/MgO and Al/MgO. The Si samples with 2–3 nm of SiO_{2} were untreated commercial wafers with a native oxide. Thicker layers of thermal oxide were grown by heating Si wafers in an oven to 950 °C for 5 min at a ramp rate of 5 °C per min. The thickness of SiO_{2} was measured using variable angle spectroscopic ellipsometry. The Si substrate for the Ta/Si sample was HF treated to remove the native oxide and then loaded into a high vacuum sputtering chamber. The thin metal films were deposited on the Si, Si:B, Si_{0.99}Ge_{0.01} and MgO substrates under high vacuum. MgO samples were annealed at ≈800 °C under high vacuum for 1 h before Al and Ta deposition. Si samples that were coated with Al films were heated to ≈600 °C and then allowed to cool to room temperature before deposition to provide cleaner interfaces. The Ta was deposited on the MgO substrate at ≈700 °C to the form the α (bcc) phase^{34}. On Si, the Ta film was deposited slightly below 600 °C to prevent the formation of an extensive TaSi silicide layer at the interface. Picosecond acoustics^{16,35} and Rutherford backscattering spectroscopy confirmed that TaSi_{2} or Ta_{2}O_{5} layers of appreciable thickness were not formed. For control experiments, Al and Ta films were also deposited on Si wafers that had 105 nm layers of thermal oxide on the surface, and Al films were deposited on single crystal Al, Cu, and Ni substrates, see Supplementary Fig. 7. The boron doping concentration in the Si:B sample was 1.6 × 10^{19} cm^{−3}, determined by secondary ion mass spectroscopy. We determined the relative sensitivity factor for boron in our secondary ion mass spectroscopy measurement by measuring a reference sample of Si with a known concentration profile of ion implanted boron.
Control TDTR measurements of Al/Ni and Al/SiO_{2} samples were performed as a function of w_{0} and f, see Supplementary Fig. 7. We observed no dependence of Λ_{A} on w_{0} or f outside of our estimated experimental uncertainty of 8%. A radial thermal conductivity for Ni within 5% of the throughplane value was derived from beamoffset measurements at w_{0}=1.05 μm and f=1.1 and 10 MHz, see Supplementary Fig. 8. We also performed control measurements to confirm the temperature reading of our cryostat for lowtemperature experiments, see Supplementary Fig. 9.
In addition to the samples described above, a separate set of Alcoated Si, Si_{0.99}Ge_{0.01}, Si_{0.2}Ge_{0.8} and Ge samples were prepared specifically for the apparent interface conductance measurements shown in Fig. 5. These samples were first HF treated before being loaded in a high vacuum sputtering chamber to remove as many extrinsic differences between the interfaces as possible, such as different thicknesses of native oxide. In addition to the HF dip, the Si and Si_{0.99}Ge_{0.01} samples were heated to ≈700 °C and the Si_{0.2}Ge_{0.8} and Ge samples were heated to ≈450 °C in high vacuum for 30 minutes and then allowed to cool to room temperature before Al deposition.
Ballistic/diffusive model for thermal transport
The thermal response measured in TDTR experiments in heat transfer problems where Fourier theory is invalid can be understood with a ballistic/diffusive model. By ballistic phonons, we mean phonons with MFPs that are comparable to, or larger than, the important length scales of the temperature profile and therefore require a nonlocal expression for the heat current. By diffusive phonons, we mean phonons whose heat current is well described by Fourier theory because their MFPs are shorter than the important length scales of the temperature profile. The new ballistic/diffusive framework we describe here is based on the derivation presented in Aschroft and Mermin for Λ of a Drude metal^{36}, and builds on our prior work in ref. 3. Our ballistic/diffusive model draws on concepts outlined in twofluid models for phonon transport described by Armstrong^{37} and more recently by Maznev et al.^{12}
Highwavevector phonons (q>q_{0}), which contain the vast majority of the solid’s heat capacity (Fig. 2b), form a thermal reservoir^{12,37}. In our model, the phonon wavevector that divides the high and lowwavevector phonons, q_{0}, must meet the requirement that ℓ(q_{0})≪w_{0} and ℓ(q_{0})≪d_{p} so that all highwavevector phonons are diffusive and the mean occupation of all highwavevector phonons at all positions is well described with a single temperature profile, T(r, z).
The dominant inelastic scattering mechanism for lowwavevector phonons is threephonon processes that involve two highwavevector phonons^{12,38}. Therefore, we follow Maznev et al. and neglect coupling between lowwavevector phonons and assume that lowwavevector phonons are only coupled to highwavevector phonons. Then, the thermal reservoir transports heat both diffusively and by radiating and absorbing the lower frequency phonons with q<q_{0} and the total heat current at position ρ due to all phonons is
where j sums over polarizations, Λ_{0} is the total thermal conductivity due to phonons with q>q_{0} and J_{NL}(ℓ(q)) is the nonlocal heat current due to phonons with a MFP ℓ being radiated and absorbed from the thermal reservoir. The nonlocal heat current across a plane, q, in a homogenous solid due to a lowwavevector phonon excitation is equal to the product of the difference in the number density of thermally excited phonons travelling in the positive and negative directions, Δn(q)D(q)/2, the excitation’s group velocity, v(q) and the difference in energy between excitations travelling in the positive and negative directions, ℏω(q), that is, J_{NL}=ℏωΔnD(q)v/2, where n is the Bose–Einstein occupation number and D is the volumetric density of states. Here, the difference in thermally occupied states depends on the differences in temperature of the solid where and when the lowwavevector phonons travelling in the positive and negative directions last scattered. Because the most important timescale in our experiment, 1/f, is much longer than phonon lifetimes, we can neglect any temporal lag when relating Δn to T. Then, for a onedimensional problem^{3},
Here, is the average temperature difference between phonons with MFP ℓ(q) travelling in the positive and negative direction.
A physically intuitive approximation for ; at position ρ is^{36}
because, on average, phonons have travelled a distance ℓ since last scattering. A more general expression for that also accounts for the probability of scattering at an interface is derived in Supplementary Methods. When the temperature profile near ρ can be accurately described by a firstorder Taylor series^{36}, that is,
the nonlocal expression in equation (6) for the heat current reduces to the local expression known as Fourier’s law. In other words, Fourier’s law will accurately predict the heat current due to phonon with wavevector q provided equation (8) is a reasonable approximation.
When the heat transfer problem in a TDTR or FDTR experiment is purely diffusive, the distance heat can diffuse in one period of oscillation determines the throughplane length scale of the temperature profile and is known as the thermal penetration depth, . In a ballistic/diffusive transport problem, this length scale of the temperature profile is decreased because ballistic phonons carry less heat than Fourier’s law predicts. Therefore, we can bound the throughplane temperature profile length scale as less than d_{p} but larger than , where Λ_{0} is the thermal conductivity of highwavevector phonons.
When the heat transfer problem is not onedimensional, we must integrate over all directions and equation (6) becomes
where j labels phonon polarization, θ_{1}, θ_{2}, φ_{1} and φ_{2} are determined by direction, i,R is the probability of reflection for a Si phonon impinging on the metal/Si interface and v_{i,j} is the component of the group velocity of a phonon with polarization j in direction i. In the radial direction, θ_{1}=0, θ_{2}=π, φ_{1}=−π/2, φ_{2}=π/2 and v_{i,j}=v_{j} cos φ sin θ. In the throughplane direction, θ_{1}=0, θ_{2}=π/2, φ_{1}=0, φ_{2}=2π and v_{i,j}=v_{j} cos θ.
For the group of phonons that satisfy the limit ℓ≫d_{p}, equation (9) predicts that the heat current in throughplane direction is^{14}
where C_{L} and C_{T} are the collective volumetric heat capacities of longitudinal and transverse phonons that satisfy ℓ≫d_{p}, v_{L} and v_{T} are the average longitudinal and transverse group velocities of ballistic phonons and T_{M} is the temperature of the metal transducer. In the r direction, the heat carried by phonons with ℓ≫w_{0} is zero.
Ballistic and diffusive phonons in our model are affected by the presence of a boundary in different ways. For the diffusive channel, we assume the boundary condition J_{z}(z=0)=G_{0}ΔT_{z=0}, is an adequate description of the effect of the interface on diffusive thermal transport. Here, G_{0} is the diffusive thermal conductance. For the ballistic channel, the heat current across the interface is given by equation (9) with the exclusion of phonons travelling toward the metal surface, and can be viewed in terms of a ballistic conductance, , where G_{B}=(1−R)C(q<q_{0})v/4 is the conductance of ballistic phonons. In addition, the presence of a boundary alters the heat carried by long MFP phonons in the substrate within a distance ℓ of the interface, because the reflection and transmission of phonons alters (Fig. 8). In the main text, we labelled this latter effect an interfacial nonequilibrium thermal resistance because the interface is preventing thermal equilibrium between phonons near z=0.
The expression for J_{NL}(ℓ(q)) in equation (9) converges to the Fourier theory prediction for the heat current when ℓ(q) is much smaller than the length scales of the temperature profile. Therefore, the total heat current predicted by equation (5) will not be sensitive to the value of q_{0} chosen as long as equation (8) is satisfied for ℓ(q>q_{0}).
Selfconsistent criteria for choosing the value of q_{0} for a given material can now be outlined. The requirement that equation (8) is valid for ℓ(q_{0}) provides a restriction on how small q_{0} can be. A restriction on how large q_{0} can be is provided by our two assumptions that lowwavevector phonons have a negligible collective heat capacity in comparison with highwavevector phonons, C(q<q_{0})≪C(q>q_{0}), and that the dominant scattering mechanism for lowwavevector phonons is absorption/emission from the thermal reservoir. The criterion that C(q<q_{0})≪C(q>q_{0}) will typically provide a stricter limit on the upper bound of q_{0} than the absorption/emission criterion because the spectral distribution of the heat capacity only depends on the density of occupied states, while the probability of a lowwavevector phonon scattering with two other phonons depends on both the density of occupied states and the threephonon matrix element, and the threephonon matrix element is larger for scattering events that involve highwavevector phonons^{12}. We set q_{0} in all materials so that ℓ(q_{0})=d_{p} (20 MHz)/5 for both longitudinal and transverse phonons, see supplementary Methods. This satisfies the requirement that the total heat current predicted by equation (5) is insensitive to q_{0}. In addition, it leaves more than 90% of the total heat capacity with the highwavevector phonons in the materials we study here.
To compare with our experimental data, we use our ballistic/diffusive model to calculate effective thermal conductivities, and then use these effective thermal conductivities to generate theoretical values of G_{A} and Λ_{A} as a function of w_{0} and f (solid lines in Figs 3, 5 and 6). Further details of our calculation are provided in Supplementary Methods. Supplementary Fig. 10 compares the assumptions of specular versus diffuse reflection of phonons from the interface. Supplementary Figs 11–13 illustrate how with properly defined effective inplane and throughplane thermalconductivities, K_{r}(z) and K_{z}(z), the predictions of Fourier’s law and equation (9) agree.
To summarize how we fixed our model parameters, once q_{0} is fixed so that all high wave vector phonons are diffusive, and the RTA models are used to fix the MFPs and heat capacities of the short wavevector phonons, the only free parameters in the ballistic/diffusive model are G_{0} and R. We fixed R=0 for all samples and calculations with the exception of Figs 6 and 8. Figures 6 and 8 include both the adiabatic and radiative limits of our model’s predictions, and is representative of the effect that varying R has on the calculations. We fixed G_{0} for Si and Si_{0.99}Ge_{0.01} based on TDTR measurements of Si. We fixed G_{0} for Ge and Si_{0.2}Ge_{0.8} based on TDTR measurements of Ge. Therefore, our model predictions for Λ_{A} of Si, Ge, Si_{0.99}Ge_{0.01} and Si_{0.2}Ge_{0.8} involve no fitting parameters. Our model predictions for G_{A} of Si and Ge involve one fitting parameter (G_{0}) and our model predictions for G_{A} of Si_{0.99}Ge_{0.01} and Si_{0.2}Ge_{0.8} involve no fitting parameters. The Λ_{A} predicted by our ballistic/diffusive model is insensitive to q_{0} and G_{0}; for example, a 5% change in either results in less than a 0.2% change in Λ_{A} predicted for Si_{0.99}Ge_{0.01} at 10 MHz. G_{A} predicted by our model is sensitive to G_{0}; for example, a 5% change in the value of G_{0} results in a 3% change in G_{A} predicted for Si_{0.99}Ge_{0.01} at 10 MHz.
The accuracy of our ballistic/diffusive model predictions depends on four factors: (1) the accuracy of our RTA model’s predictions for the thermal conductivity spectral distribution λ(q), (2) the accuracy of our assumptions regarding interfacialphonon scattering, (3) the accuracy of our assumption that only diffusive phonons store a significant amount of heat and (4) the accuracy our nonlocal expression for the heat current equation (9). Therefore, the accuracy of quantitative predictions could be improved in future work with a more sophisticated model. For example, our model’s treatment of interfacial transport assumes, without rigorous justification that lowwavevector phonons impinging on the interface from the nonmetal side have a constant reflection probability (usually zero), and that a radiative boundary condition is a valid description of interfacial transport for highwavevector phonons. Our model’s requirement that the vast majority of a solid’s heat capacity is due to phonons with MFPs much shorter then temperature profile length scales limits its applicability to problems where the vast majority of thermally excited phonons do not require a nonlocal expression for the heat current, precluding our ballistic/diffusive model from making predictions at low temperatures. Our nonlocal expression for the heat current does not distinguish between elastic and inelastic scattering, which should have different effects on the nonequilibrium length scale^{11}. Finally, another weakness in our model predictions is that to predict the thermal response of our samples at 1/f timescales, we used our ballistic/diffusive model to derive effective thermal properties, K_{z}(z) and K_{r}(z), as inputs for the heat diffusion equation. A fully rigorous calculation would be selfcontained by directly calculating the thermal response of the solid on 1/f timescales.
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How to cite this article: Wilson, R. B. et al. Anisotropic failure of fourier theory in timedomain thermoreflectance experiments. Nat. Commun. 5:5075 doi: 10.1038/ncomms6075 (2014).
References
Regner, K. T. et al. Broadband phonon mean free path contributions to thermal conductivity measured using frequency domain thermoreflectance. Nat. Commun. 4, 1640 (2013).
Yang, F. & Dames, C. Mean free path spectra as a tool to understand thermal conductivity in bulk and nanostructures. Phys. Rev. B 87, 035437 (2013).
Wilson, R. B., Feser, J. P., Hohensee, G. T. & Cahill, D. G. Twochannel model for nonequilibrium thermal transport in pumpprobe experiments. Phys. Rev. B 88, 144305 (2013).
Minnich, A. J. et al. Thermal conductivity spectroscopy technique to measure phonon mean free paths. Phys. Rev. Lett. 107, 095901 (2011).
Highland, M. et al. Ballisticphonon heat conduction at the nanoscale as revealed by timeresolved xray diffraction and timedomain thermoreflectance. Phys. Rev. B 76, 075337 (2007).
Koh, Y. K. & Cahill, D. G. Frequency dependence of the thermal conductivity of semiconductor alloys. Phys. Rev. B 76, 075207 (2007).
Siemens, M. E. et al. Quasiballistic thermal transport from nanoscale interfaces observed using ultrafast coherent soft Xray beams. Nat. Mater. 9, 26–30 (2010).
Pop, E. Energy dissipation and transport in nanoscale devices. Nano Res. 3, 147–169 (2010).
Kanatzidis, M. G. Nanostructured thermoelectrics: the new paradigm? Chem. Mater. 22, 648–659 (2009).
Johnson, J. A. et al. Direct measurement of roomtemperature nondiffusive thermal transport over micron distances in a silicon membrane. Phys. Rev. Lett. 110, 025901 (2013).
da Cruz, C. A., Li, W., Katcho, N. A. & Mingo, N. Role of phonon anharmonicity in timedomain thermoreflectance measurements. Appl. Phys. Lett. 101, 083108 (2012).
Maznev, A. A., Johnson, J. A. & Nelson, K. A. Onset of nondiffusive phonon transport in transient thermal grating decay. Phys. Rev. B 84, 195206 (2011).
Minnich, A. J. Determining phonon mean free paths from observations of quasiballistic thermal transport. Phys. Rev. Lett. 109, 205901 (2012).
Allen, P. B. Heat conduction by phonons across a film. eprint arXiv:1308.2890, 5 (2013).
Yang, H.S. et al. Anomalously high thermal conductivity of amorphous Si deposited by hotwire chemical vapor deposition. Phys. Rev. B 81, 104203 (2010).
Losego, M. D., Grady, M. E., Sottos, N. R., Cahill, D. G. & Braun, P. V. Effects of chemical bonding on heat transport across interfaces. Nat. Mater. 11, 502–506 (2012).
Stoner, R. J. & Maris, H. J. Kapitza conductance and heat flow between solids at temperatures from 50 to 300 K. Phys. Rev. B 48, 16373–16387 (1993).
Cahill, D. G. et al. Nanoscale thermal transport. J. Appl. Phys. 93, 793–818 (2003).
Feser, J. P. & Cahill, D. G. Probing anisotropic heat transport using timedomain thermoreflectance with offset laser spots. Rev. Sci. Instrum. 83, 104901 (2012).
Garg, J., Bonini, N., Kozinsky, B. & Marzari, N. Role of disorder and anharmonicity in the thermal conductivity of silicongermanium alloys: a firstprinciples study. Phys. Rev. Lett. 106, 045901 (2011).
Asheghi, M., Kurabayashi, K., Kasnavi, R. & Goodson, K. E. Thermal conduction in doped singlecrystal silicon films. J. Appl. Phys. 91, 5079–5088 (2002).
Fulkerson, W., Moore, J. P., Williams, R. K., Graves, R. S. & McElroy, D. L. Thermal conductivity, electrical resistivity, and seebeck coefficient of silicon from 100 to 1300°K. Phys. Rev. 167, 765–782 (1968).
Cahill, D. G. Analysis of heat flow in layered structures for timedomain thermoreflectance. Rev. Sci. Instrum. 75, 5119–5122 (2004).
Freedman, J. P. et al. Universal phonon mean free path spectra in crystalline semiconductors at high temperature. Sci. Rep. 3, 2963 (2013).
Tamura, S. Isotope scattering of dispersive phonons in Ge. Phys. Rev. B 27, 858–866 (1983).
Ward, A. & Broido, D. A. Intrinsic phonon relaxation times from firstprinciples studies of the thermal conductivities of Si and Ge. Phys. Rev. B 81, 085205 (2010).
Garg, J., Bonini, N. & Marzari, N. inLengthScale Dependent Phonon Interactions Vol. 128 Topics in Applied Physics eds Shindé Subhash L., Srivastava Gyaneshwar P. Chapter 4, 115–136Springer (2014).
Li, W. et al. Thermal conductivity of diamond nanowires from first principles. Phys. Rev. B 85, 195436 (2012).
Riley, K. F., Hobson, M. P. & Bence, S. J. Mathematical methods for physics and engineering Cambridge University Press (2006).
Young, D. A. & Maris, H. J. Latticedynamical calculation of the Kapitza resistance between fcc lattices. Phys. Rev. B 40, 3685–3693 (1989).
Kremer, R. K. et al. Thermal conductivity of isotopically enriched 28Si: revisited. Solid State Commun. 131, 499–503 (2004).
Ding, D., Chen, X. & Minnich, A. J. Radial quasiballistic transport in timedomain thermoreflectance studied using Monte Carlo simulations. Appl. Phys. Lett. 104, 143104 (2014).
Wilson, R. B., Apgar, B. A., Martin, L. W. & Cahill, D. G. Thermoreflectance of metal transducers for optical pumpprobe studies of thermal properties. Opt. Express 20, 28829–28838 (2012).
Sato, S. Nucleation properties of magnetronsputtered tantalum. Thin Solid Films 94, 321–329 (1982).
Hohensee, G. T., Hsieh, W.P., Losego, M. D. & Cahill, D. G. Interpreting picosecond acoustics in the case of low interface stiffness. Rev. Sci. Instrum. 83, 114902 (2012).
Ashcroft, N. W. & Mermin, N. D. Solid State Physics Thomson Learning (1976).
Armstrong, B. H. Twofluid theory of thermal conductivity of dielectric crystals. Phys. Rev. B 23, 883–899 (1981).
Herring, C. Role of lowenergy phonons in thermal conduction. Phys. Rev. 95, 954–965 (1954).
Acknowledgements
This work was supported by AFOSR contract number AF FA95501210073 and was carried out in part in the Frederick Seitz Materials Research Laboratory Central Research Facilities, University of Illinois. R.B.W. thanks the Department of Defense for the NDSEG fellowship that supported him during this work, Joseph P. Feser for sharing his preliminary data for MgO and his assistance with beamoffset measurements and Dongyao Li for helpful discussions regarding heater/thermometer symmetry in heat transfer problems.
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R.B.W. designed and carried out the experiments, conducted the data analysis and wrote the manuscript with the assistance and supervision of D.G.C.
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Wilson, R., Cahill, D. Anisotropic failure of Fourier theory in timedomain thermoreflectance experiments. Nat Commun 5, 5075 (2014). https://doi.org/10.1038/ncomms6075
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DOI: https://doi.org/10.1038/ncomms6075
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