Research article Topical Sections

Synthesis and electrocatalytic properties of La0.8Sr0.2FeO3−δ perovskite oxide for oxygen reactions

  • Perovskites are important alternatives for precious metals as catalysts for bifunctional oxygen electrodes, involving oxygen evolution (OER) and reduction (ORR) reactions as is the case of regenerative fuel cells. In this work, strontium doped lanthanum ferrite La1−xSrxFeO3−δ (x = 0; 0.1; 0.2; 0.3; 0.4; 0.6 and 1.0) powders were prepared by a self-combustion route. The oxides, in the form of carbon paste electrodes, were characterised by cyclic voltammetry in alkaline solutions. Data analyses lead to the selection of La0.8Sr0.2FeO3−δ to prepare gas diffusion electrodes (GDEs). Cyclic voltammetry and steady state polarization curves were used, respectively, to assess the electrochemical behaviour of GDEs and to obtain kinetic data for both OER and ORR. It is concluded that the oxide preparation conditions/electrode configuration determine the electrode performance. The bifunctionality of the electrodes was assessed, under galvanostatic control, using a cycling protocol within the potential domains for OER and ORR. The potential window, i.e., the total combined overpotential between OER and ORR was found to be of ≈770 mV, value which compares well with that obtained under potentiostatic control. Even though the potential window keeps constant during 140 cycles, the increase in cycling time and/or current density (≥2.5 mA·cm−2) led to a gradual metallization of the GDE surface, as confirmed by Scanning Electron Microscopy and X-ray diffraction analysis.

    Citation: R.A. Silva, C.O. Soares, R. Afonso, M.D. Carvalho, A.C. Tavares, M.E. Melo Jorge, A. Gomes, M.I. da Silva Pereira, C.M. Rangel. Synthesis and electrocatalytic properties of La0.8Sr0.2FeO3−δ perovskite oxide for oxygen reactions[J]. AIMS Materials Science, 2017, 4(4): 991-1009. doi: 10.3934/matersci.2017.4.991

    Related Papers:

    [1] Zeliha Korpinar, Mustafa Inc, Dumitru Baleanu . On the fractional model of Fokker-Planck equations with two different operator. AIMS Mathematics, 2020, 5(1): 236-248. doi: 10.3934/math.2020015
    [2] Hassan Khan, Umar Farooq, Fairouz Tchier, Qasim Khan, Gurpreet Singh, Poom Kumam, Kanokwan Sitthithakerngkiet . The analytical analysis of fractional order Fokker-Planck equations. AIMS Mathematics, 2022, 7(7): 11919-11941. doi: 10.3934/math.2022665
    [3] Ibrahim-Elkhalil Ahmed, Ahmed E. Abouelregal, Doaa Atta, Meshari Alesemi . A fractional dual-phase-lag thermoelastic model for a solid half-space with changing thermophysical properties involving two-temperature and non-singular kernels. AIMS Mathematics, 2024, 9(3): 6964-6992. doi: 10.3934/math.2024340
    [4] Madeeha Tahir, Ayesha Naz, Muhammad Imran, Hasan Waqas, Ali Akgül, Hussein Shanak, Rabab Jarrar, Jihad Asad . Activation energy impact on unsteady Bio-convection nanomaterial flow over porous surface. AIMS Mathematics, 2022, 7(11): 19822-19845. doi: 10.3934/math.20221086
    [5] Xingang Zhang, Zhe Liu, Ling Ding, Bo Tang . Global solutions to a nonlinear Fokker-Planck equation. AIMS Mathematics, 2023, 8(7): 16115-16126. doi: 10.3934/math.2023822
    [6] Sheheryar Shah, M. N. Abrar, Kamran Akhtar, Aziz Khan, Thabet Abdeljawad . Entropy formation analysis for magnetized UCM fluid over an exponentially stretching surface with PST and PSHF wall conditions. AIMS Mathematics, 2023, 8(5): 11666-11683. doi: 10.3934/math.2023591
    [7] Jingen Yang, Zhong Zhao, Xinyu Song . Statistical property analysis for a stochastic chemostat model with degenerate diffusion. AIMS Mathematics, 2023, 8(1): 1757-1769. doi: 10.3934/math.2023090
    [8] Umar Nazir, Kanit Mukdasai . Combine influence of Hall effects and viscous dissipation on the motion of ethylene glycol conveying alumina, silica and titania nanoparticles using the non-Newtonian Casson model. AIMS Mathematics, 2023, 8(2): 4682-4699. doi: 10.3934/math.2023231
    [9] M. A. El-Shorbagy, Waseem, Mati ur Rahman, Hossam A. Nabwey, Shazia Habib . An artificial neural network analysis of the thermal distribution of a fractional-order radial porous fin influenced by an inclined magnetic field. AIMS Mathematics, 2024, 9(6): 13659-13688. doi: 10.3934/math.2024667
    [10] Tian Xu, Ailong Wu . Stabilization of nonlinear hybrid stochastic time-delay neural networks with Lévy noise using discrete-time feedback control. AIMS Mathematics, 2024, 9(10): 27080-27101. doi: 10.3934/math.20241317
  • Perovskites are important alternatives for precious metals as catalysts for bifunctional oxygen electrodes, involving oxygen evolution (OER) and reduction (ORR) reactions as is the case of regenerative fuel cells. In this work, strontium doped lanthanum ferrite La1−xSrxFeO3−δ (x = 0; 0.1; 0.2; 0.3; 0.4; 0.6 and 1.0) powders were prepared by a self-combustion route. The oxides, in the form of carbon paste electrodes, were characterised by cyclic voltammetry in alkaline solutions. Data analyses lead to the selection of La0.8Sr0.2FeO3−δ to prepare gas diffusion electrodes (GDEs). Cyclic voltammetry and steady state polarization curves were used, respectively, to assess the electrochemical behaviour of GDEs and to obtain kinetic data for both OER and ORR. It is concluded that the oxide preparation conditions/electrode configuration determine the electrode performance. The bifunctionality of the electrodes was assessed, under galvanostatic control, using a cycling protocol within the potential domains for OER and ORR. The potential window, i.e., the total combined overpotential between OER and ORR was found to be of ≈770 mV, value which compares well with that obtained under potentiostatic control. Even though the potential window keeps constant during 140 cycles, the increase in cycling time and/or current density (≥2.5 mA·cm−2) led to a gradual metallization of the GDE surface, as confirmed by Scanning Electron Microscopy and X-ray diffraction analysis.


    The Lévy process [1] is commonly defined by the characteristic function exp(cα|k|αt), wherein α denotes the Lévy index, k is the variable in the Fourier space, and cα is a constant. In recent years, Lévy-type behaviors have been widely used to interpret signatures of anomalous thermal transport in low-dimensional systems [2,3,4,5,6,7]. A typical example is the power-law size-dependence of the effective thermal conductivity κeff [4,8,9,10,11], namely,

    κeff=κeff(L)Lγ (1.1)

    with L denoting the system size. Based on the Monte Carlo technique for solving the phonon Boltzmann transport equation, Upadhyaya and Aksamija [5] have observed a Lévy-type (or heavy-tailed) distribution of the phonon mean free paths in Si-Ge alloy nanowires, which gives rise to a divergent exponent γ=1/133. Denisov and co-authors [12] connected the size-dependence exponent to the Lévy index α(1,2) for one-dimensional dynamical channels, γ=2α. This relation is supported by a recent investigation on the long-range interacting Fermi-Pasta-Ulam chains [7]. Furthermore, the results in Si-Ge alloy nanowires and one-dimensional dynamical channels also show that the Lévy processes will be paired with another signature of anomalous thermal transport, the superdiffusive growth of the mean-square energy displacement [5],

    Δx2e(t)tβ (1.2)

    with β(1,2). The coexistence of the Lévy-type regimes and superdiffusive thermal transport has also been acquired in semiconductor alloys [6] and two-dimensional nonlinear lattices [8].

    There is another conceptual connection between the Lévy processes and anomalous thermal transport in low-dimensional systems, the spatial fractional-order operators [13,14,15]. For instance, the energy perturbation δe(x,t) in the one-dimensional harmonic chains is commonly governed by a 3/4-fractional diffusion equation [14,15] as follows

    t[δe(x,t)]=C0(Δ)3/344[δe(x,t)] (1.3)

    wherein C0 is a positive constant and (Δ)3/344 stands for the fractional Laplacian operator [16,17]. For infinite space like R, (Δ)3/344 is generally defined in terms of the Fourier transform, namely,

    Fk{(Δ)3/344[δe(x,t)]}=|k|3/322Fk{δe(x,t)} (1.4)

    with Fk{...} the Fourier transform operator. At the microscopic level, Eq (1.3) can be obtained from the Boltzmann transport equation with a certain collision term [18,19,20,21,22]. In these studies, the Lévy-type behaviors are observed based on the specific physical regimes of the heat carriers, which differ from model to model, yet generic mathematical descriptions are not much involved with signatures of anomalous thermal transport. In mathematics, spatial fractional-order governing equations are widely applied to the Lévy processes [23,24,25], including the Lévy flights in a confined domain [0,L]. The main aim of this work is to address anomalous thermal transport which is dominated the confined Lévy flights, which has not been discussed by previous investigations.

    The simplest mathematical description of the confined Lévy flights is the following symmetric Lévy-Fokker-Planck equation [23]

    P(x,t)t=Kα2cos(πα2)[RL0Dαx+RLLDαx]P(x,t)=Kα2cos(πα2)Γ(2α)2x2[L0P(x,t)|xx|α1dx], (1.5)

    where P(x,t) denotes the probability density function (PDF), Kα is the noise intensity with the dimension |x|αt1, RLLDαx and RL0Dαx stand for the right-hand and left-hand Riemann-Liouville operators respectively. For engineering or experimental problems, the boundary points must be attained, which will give rise to infinite Lévy measure. In this work, we apply Eq (1.5) to one-dimensional thermal transport, wherein the PDF is defined in terms of the correlation function of the energy fluctuations [3], namely,

    {P(x,t)=[L0Cu(x,t=0)dx]1Cu(x,t)Cu(x,t)=u(x,t)u(x=0,t=0)u(x,t)u(x=0,t=0) (1.6)

    with u(x,t) the density of the thermal energy. Eq (1.5) corresponds to nonlocal thermal transport, namely that the temporal evolution of the energy fluctuations at x=x0 depends on the global distribution of the energy fluctuations in [0,L]. For arbitrary ε(0,min{x0,Lx0}), the distributions in [x0ε,x0) and (x0,x0+ε] have the same contribution to the temporal evolution at x=x0, which indicates that the nonlocality is symmetric. Based on the entropic functionals, a connection between the evolution of the PDF and thermal transport is established. Anomalous features of thermal transport thereafter arise from the entropic connection, including the nonlocality of the local effective thermal conductivity, power-law size-dependence of the global effective thermal conductivity, and nonlinear boundary asymptotics of the stationary temperature profile. Thermal transport and confined Lévy flights.

    The Lévy-Fokker-Planck equation describes the evolution of the PDF, while thermal transport focuses on thermodynamic quantities, i.e., the heat flux Jq(x,t) and local temperature T(x,t). In order to link the Lévy-Fokker-Planck equation to thermal transport, we consider the following entropy density in the framework of Boltzmann-Gibbs statistical mechanics,

    s(x,t)=kBP(x,t)lnP(x,t) (2.1)

    where kB is the Boltzmann constant. The temporal derivative of s(x,t) should be restricted by the entropy balance equation as follows

    s(x,t)t=kBP(x,t)t[lnP(x,t)+1]=JS(x,t)x+σ(x,t). (2.2)

    wherein JS(x,t) denotes the entropy flux and σ(x,t) is the density of the entropy production rate. Besides the entropy balance equation, there is another restriction termed as continuity equation,

    P(x,t)t=J(x,t)x (2.3)

    where J(x,t) is the probability current. Substituting Eq (2.3) into Eq (2.2) yields

    s(x,t)t=kBJ(x,t)x[lnP(x,t)+1]=kBx{J(x,t)[lnP(x,t)+1]}kBJ(x,t)x[lnP(x,t)+1]=JS(x,t)x+σ(x,t), (2.4)

    and we thereafter arrive at

    JS(x,t)=kBJ(x,t)[lnP(x,t)+1] (2.5)
    σ(x,t)=kBJ(x,t)x[lnP(x,t)+1]=kBJ(x,t)P(x,t)P(x,t)x. (2.6)

    Then, J(x,t) and P(x,t) can be connected to thermal transport via the relationship between {JS(x,t),σ(x,t)} and {Jq(x,t),T(x,t)}.

    For thermal transport not far from local equilibrium, Boltzmann-Gibbs statistical mechanics typically coincides with classical irreversible thermodynamics [26], which gives the following expressions for the above entropic functionals,

    s(x,t)=T(x,t)cdTT+seq (2.7)
    JS(x,t)=1T(x,t)Jq(x,t) (2.8)
    σ(x,t)=Jq(x,t)x[1T(x,t)] (2.9)

    where seq is the entropy density independent of thermal transport, and c is the specific heat capacity per volume. Upon combining Eqs (2.8) and (2.9) with Eqs (2.5) and (2.6) respectively, one can derive the relations between {J(x,t),P(x,t)} and {Jq(x,t),T(x,t)}, namely,

    Jq(x,t)=kBT(x,t)J(x,t)[lnP(x,t)+1] (2.10)
    cJ(x,t)T(x,t)x=Jq(x,t)P(x,t)x (2.11)

    The two relations do not rely on specific constitutive models between J(x,t) and P(x,t), which remains valid for various generalized Fokker-Planck equations besides the Lévy-Fokker-Planck equation.

    For the Lévy-Fokker-Planck equation, the constitutive model between J(x,t) and P(x,t) is given by [27]

    J(x,t)=Kα2cos(πα2)Γ(2α)x[L0P(x,t)|xx|α1dx] (2.12)

    and substituting it into Eqs (2.10) and (2.11) leads to

    Jq(x,t)=kBKαT(x,t)[lnP(x,t)+1]2cos(πα2)Γ(2α)x[L0P(x,t)|xx|α1dx] (2.13)
    KαcT(x,t)x2cos(πα2)Γ(2α)x[L0P(x,t)|xx|α1dx]=Jq(x,t)P(x,t)x (2.14)

    Equation (2.13) exhibits a nonlocal behavior of the heat flux, namely that the heat flux at x0[0,L] depends on not only the PDF and local temperature at x0 but also all states in [0,L]. In other words, any points in [0,L] will contribute to the heat flux at x0. Such nonlocality will vanish in the limit α2, which leads to a degeneration into the standard diffusion equation. In this degenerate case, Eq (2.13) becomes

    Jq(x,t)=Kα=2kBT(x,t)P(x,t)x[lnP(x,t)+1] (2.15)

    which illustrates that the diffusive heat flux is proportional to the PDF gradient. Note that the gradient of the entropy density is written as

    s(x,t)x=kBP(x,t)x[lnP(x,t)+1]=cT(x,t)T(x,t)x. (2.16)

    Combining Eqs (2.15) and (2.16) yields

    Jq(x,t)=Kα=2T(x,t)s(x,t)x=Kα=2cT(x,t)x. (2.17)

    and we now obtain a constitutive relation between Jq(x,t) and T(x,t)x. Furthermore, the diffusive limit α2 implies normal thermal transport (β=1), wherein Jq(x,t) and T(x,t)x generally obey conventional Fourier's law, namely,

    Jq(x,t)=κT(x,t)x (2.18)

    Here, κ is the so-called thermal conductivity, which is an intrinsic material property and independent of geometric parameters such as the system size. It is found that Eqs (2.17) and (2.18) will possess a same formulation as if κKα=2c. This degeneration to Fourier's law is physical reasonable and in agreement with existing understandings of anomalous thermal transport [2,3,4]. In the degeneration case, the Lévy process becomes the Gauss process. Meanwhile, Fourier's law corresponding to Eq (2.15) is paired with a parabolic governing equation of the local temperature [3], whose solution for initial thermal perturbation is Gaussian as well. Thus, Eq (2.15) also corresponds to the Gauss case. Nevertheless, κKα=2c is not unconditionally tenable. As material properties, κ and c generally vary as the local temperature changes, whereas Kα is assumed to be a constant. Therefore, κKα=2c is valid only if κ and c have a same temperature-dependence. This assumption commonly holds at the low temperature, yet is usually invalid in the high-temperature situations [28,29,30], wherein κ decays with the increasing temperature and c vanishingly varies.

    For α(1,2), Eq (2.14) can still be reformed as a Fourier-like constitutive relation

    {Jq(x,t)=κloceffT(x,t)xκloceff=Kαc[P(x,t)x]1x[L0P(x,t)|xx|α1dx]2cos(πα2)Γ(2α) (2.19)

    Because the prefactor κloceff is determined by the all states in [0,L], it cannot be formulated as a functional of the local temperature like κloceff=κloceff[T(x,t)]. It implies that κloceff is not a well-defined intrinsic property, and hence, Fourier's law no longer holds. From the viewpoint of physics, κloceff can be understood as the local effective thermal conductivity. There are several aspects which need careful discussion. First, the derivation of κloceff relies on the framework of classical irreversible thermodynamics, which requires the non-negative entropy production rate in Eq (2.9). This requirement is equivalent to κloceff0, which leads to

    P(x,t)xx[L0P(x,t)|xx|α1dx]0 (2.20)

    Furthermore, as a thermodynamically irreversible process, non-vanishing thermal transport (Jq(x,t)0) must be paired with a strictly positive value of the entropy production rate. Conversely, if the total entropy production rate of a system is zero, this system must be in thermal equilibrium, which indicates that Jq(x,t)0 and t0. In the framework of classical irreversible thermodynamics, the thermodynamic restriction stated above corresponds to the following corollary

    {sup0xL|Jq(x,t)|>0L0Jq(x,t)x[1T(x,t)]dx>0L0Jq(x,t)x[1T(x,t)]dx=0Jq(x,t)0 (2.21)

    As a physically meaningful quantity, the supremum sup0xL|Jq(x,t)| should be attained. Singular κloceff can arise from Jq(x,t)0 and T(x,t)x0, which will invalidate corollary (2.21). For the PDF, the above corollary becomes

    {sup0xL|x[L0KαP(x,t)|xx|α1dx]|>0L0P(x,t)xx[L0KαP(x,t)|xx|α1dx]2cos(πα2)Γ(2α)P(x,t)dx<0L0P(x,t)xx[L0KαP(x,t)|xx|α1dx]2cos(πα2)Γ(2α)P(x,t)dx=0x[L0KαP(x,t)|xx|α1dx]0 (2.22)

    It is demonstrated that not all solutions of Eq (1.5) can coexist with classical irreversible thermodynamics in the near-equilibrium region. The coexistence of the Lévy-Fokker-Planck equation and classical irreversible thermodynamics relies on restrictions (2.20) and (2.22), which correspond to 0κloceff<+.

    According to the result in [23], the equilibrium solution of the Lévy-Fokker-Planck equation is given by

    Peq(x)=Γ(α)L1α[x(Lx)](α2)/(α2)22Γ2(α/α22) (2.23)

    Non-uniform Peq(x) will give rise to a non-uniform temperature distribution, namely,

    ds(x)dx|Jq0=cT(x)|Jq(x,t)0d[T(x)|Jq(x,t)0]dx=kBdPeq(x)dx[lnPeq(x)+1]d[T(x)|Jq(x,t)0,xL/L22]dx0. (2.24)

    From a physical perspective, it is non-trivial that the non-vanishing temperature gradient coexists with the thermal equilibrium state, which means absolute thermal insulation, κloceff0. Furthermore, Peq(x) is singular at the boundary, which will induces infinite boundary temperatures. These non-trivial behaviors have not been observed in existing studies on anomalous thermal transport [2,3,4].

    If the temperature distribution is uniform in the absence of thermal transport, the equilibrium PDF should be written as

    P(x)|J(x,t)0=L1 (3.1)

    For the Lévy-Fokker-Planck equation, this equilibrium solution can be acquired via replacing the Riemann-Liouville operator by the Caputo operator [31], and the constitutive relation between J(x,t) and P(x,t) thereafter becomes

    J(x,t)=Kα2cos(πα2)Γ(2α)[L01|xx|α1P(x,t)xdx] (3.2)

    The corresponding local effective thermal conductivity reads

    κloceff=Kαc[P(x,t)x]1[L01|xx|α1P(x,t)xdx]2cos(πα2)Γ(2α) (3.3)

    which is still nonlocal. The thermodynamic restrictions for {Jq(x,t),T(x,t)} remain unchanged, and the restrictions on the PDF take the following forms

    {P(x,t)x[L01|xx|α1P(x,t)xdx]0sup0xL|L0Kα|xx|α1P(x,t)xdx|>0L0L0[KαP(x,t)xP(x,t)x|xx|α1]dxdx<0L0L0[KαP(x,t)xP(x,t)x|xx|α1]dxdx=0[L0Kα|xx|α1P(x,t)xdx]0 (3.4)

    which are equivalent to 0κloceff<+ likewise.

    We now consider stationary thermal transport in the presence of a small temperature difference, namely,

    |δT|min{T(x=L),T(x=0)}, δT=T(x=L)T(x=0) (3.5)

    which yields

    |δP|min{P(x=L),P(x=0)}, δP=P(x=L)P(x=0) (3.6)

    In this case, the solution of the modified Lévy-Fokker-Planck equation is written as

    P(x)=P(x=0)+{x0[y(Ly)]α21dy}δPL0[y(Ly)]α21dy (3.7)

    Preconditions (3.5) and (3.6) enable us to employ the following expansion

    δs=s(x=L)s(x=0)=c0T0[δT+o(δT)]=kB[δP(lnP0+1)+o(δP)], (3.8)

    where c0 is the specific heat capacity at T0, T0 and P0 are the averaged temperature and probability density respectively. With the remainder term neglected, we arrive at

    δTkBT0c0δP(lnP0+1) (3.9)

    Similarly, the entropy flux can be expanded as

    JS=Jq[1T0+o(δT)T20]=πkBKα[lnP0+1+o(δP)]δPcos(πα2)sin(πα2)Γ(α)Lα1{10[z(1z)]α21dz}. (3.10)

    From Eq (3.10), one can derive the following expression of the heat flux

    JqπkBT0Kα(lnP0+1)δPcos(πα2)sin(πα2)Γ(α)Lα1{10[z(1z)]α21dz} (3.11)

    Stationary thermal transport is typically characterized by the global effective thermal conductivity as follows [2,3,4],

    κgloeff=JqLδT (3.12)

    which can be obtained through combining Eqs (3.9) and (3.11), namely,

    κgloeff=πKαc0L2αcos(πα2)sin(πα2)Γ(α)10[y(1y)]α21dy (3.13)

    The power-law size-dependence of the effective thermal conductivity presently occurs, while the size-dependence exponent is γ=2α. This relation between γ and α formally coincides with Ref. [12], but it is derived from the confined Lévy flight rather than the Lévy walk model. In existing numerical and experimental investigations [2,3,4], the range of the size-dependence exponent is observed as γ1. This range will not allow the case of 0<α<1, that is why the Lévy exponent is restricted as 1<α<2.

    In the following, the local effective thermal conductivity will be discussed. Since Jq is already known, we only need to consider the expression of dT(x)dx, which can be acquired from the following expansion

    ds(x)dx=c0[1T0+o(δT)T20]dT(x)dx=kB[lnP0+1+o(δP)]dP(x)dxdT(x)dxkBT0(lnP0+1)[x(Lx)]α21δPc0{L0[y(Ly)]α21dy}. (3.14)

    The local effective thermal conductivity is subsequently presented as follows

    κloceff=[dT(x)dx]1Jq=πKαc0[x(Lx)]1α2cos(πα2)sin(πα2)Γ(α). (3.15)

    which depends on not only the system size but also the location. Eq (3.14) also exhibits another signature of anomalous thermal transport, the nonlinear boundary asymptotics of the stationary temperature profile [4], namely,

    {limx0+|T(x)T(x=0)|xα2limxL|T(x=L)T(x)|(Lx)α2 (3.16)

    In the diffusive limit α2, κloceff will be independent of the system size and location, and meanwhile, the asymptotic exponent χ=α/α22 becomes linear. All of these degenerate behaviors agree with Fourier's law, which is physically reasonable. It should be underlined that the expanding approach stated above is inapplicable to the standard Lévy-Fokker-Planck equation based on the Riemann-Liouville operator. That is because the assumption of sufficiently small temperature difference (δTT0) is invalid for the Riemann-Liouville operator.

    The symmetric Lévy-Fokker-Planck equation is applied to investigating anomalous thermal transport in a one-dimensional confined domain. Based on the frameworks of classical irreversible thermodynamics and Boltzmann-Gibbs statistical mechanics, we establish a connection between the evolution of the probability density function and thermal transport dominated by the confined Lévy flights. The expression of the local effective thermal conductivity is derived as a nonlocal formula, which depends on all states in the domain. The thermal transport process therefore becomes anomalous. It is demonstrated that the diffusive limit α2 will lead to the degeneration into conventional Fourier's law of heat conduction as if the thermal conductivity and specific heat capacity possess the same temperature-dependence. The thermodynamic connection between the Lévy-Fokker-Planck equation and anomalous thermal transport relies on the near-equilibrium assumption, which needs certain physical restrictions on the evolution of the probability density function. It is found that the Riemann-Liouville operator will be paired with thermodynamically non-trivial behaviors, namely that the equilibrium state corresponds to the non-uniform temperature distribution and infinite boundary temperature. In order to avoid the non-uniform equilibrium state, the Lévy-Fokker-Planck equation is modified in terms of the Caputo operator. It is shown that the modified Lévy-Fokker-Planck equation will give rise to two signatures of anomalous thermal transport, the power-law size-dependence of the global effective thermal conductivity and nonlinear boundary asymptotics of the stationary temperature profile. The results illustrate that the anomalies of Lévy-based thermal transport are not independent of each other, and should fulfill certain quantitative relations. For instance, the size-dependence exponent of the global effective thermal conductivity and asymptotic exponent of the stationary temperature profile are constrained by γ=22χ. The quantitative relations can be used to test whether a specific thermal transport process is dominated by the confined Lévy flights.

    We are extremely grateful for Pei-Ming Xu and Shu-Jie Zhang for fruitful comment. This work was supported by the National Natural Science Foundation of China (Grant Nos. 51825601, U20A2031).

    The authors declare no conflict of interest.

    [1] Lee J, Jeonga B, Ocona JD (2013) Oxygen electrocatalysis in chemical energy conversion and storage technologies. Curr Appl Phys 13: 309–321. doi: 10.1016/j.cap.2012.08.008
    [2] Jorissen L (2006) Bifunctional oxygen/air electrodes. J Power Sources 155: 23–32. doi: 10.1016/j.jpowsour.2005.07.038
    [3] Kong FD, Zhang S, Yin GP, et al. (2012) Preparation of Pt/Irx(IrO2)10−x bifunctional oxygen catalyst for unitized regenerative fuel cell. J Power Sources 210: 321–326.
    [4] Jung HY, Park S, Popov BN (2009) Electrochemical studies of an unsupported PtIr electrocatalyst as a bifunctional oxygen electrode in a unitized regenerative fuel cell. J Power Sources 191: 357–361.
    [5] Wang B (2005) Recent development of non-platinum catalysts for oxygen reduction reaction. J Power Sources 152: 1–15. doi: 10.1016/j.jpowsour.2005.05.098
    [6] Pettersson J, Ramsey B, Harrison D (2006) A review of the latest developments in electrodes for unitised regenerative polymer electrolyte fuel cells. J Power Sources 157: 28–34. doi: 10.1016/j.jpowsour.2006.01.059
    [7] Park S, Shao YY, Liu J, et al. (2012) Oxygen electrocatalysts for water electrolyzers and reversible fuel cells: status and perspective. Energ Environ Sci 5: 9331–9344. doi: 10.1039/c2ee22554a
    [8] Cheng FY, Chen J (2012) Metal–air batteries: from oxygen reduction electrochemistry to cathode catalysts. Chem Soc Rev 41: 2172–2192. doi: 10.1039/c1cs15228a
    [9] Chen ZW, Higgins D, Yu AP, et al. (2011) A review on non-precious metal electrocatalysts for PEM fuel cells. Energ Environ Sci 4: 3167–3192. doi: 10.1039/c0ee00558d
    [10] Shao YY, Park S, Xiao J, et al. (2012) Electrocatalysts for nonaqueous lithium–air batteries: status, challenges, and perspective. ACS Catal 2: 844–857. doi: 10.1021/cs300036v
    [11] Othman R, Dicks AL, Zhu ZH (2012) Non precious metal catalysts for the PEM fuel cell cathode. Int J Hydrogen Energ 37: 357–372. doi: 10.1016/j.ijhydene.2011.08.095
    [12] Prakash J, Tryk D, Yeager E (1990) Electrocatalysis for oxygen electrodes in fuel cells and water electrolyzers for space applications. J Power Sources 29: 413–422. doi: 10.1016/0378-7753(90)85014-4
    [13] Rios E, Gautier JL, Poillerat G, et al. (1998) Mixed valency spinel oxides of transition metals and electrocatalysis: case of the MnxCo3−xO4 system. Electrochim Acta 44: 1491–1497. doi: 10.1016/S0013-4686(98)00272-2
    [14] Nikolova V, Iliev P, Petrov K, et al. (2008) Electrocatalysts for bifunctional oxygen/air electrodes. J Power Sources 185: 727–733. doi: 10.1016/j.jpowsour.2008.08.031
    [15] Chang YM, Wu PW, Wu CY, et al. (2009) Synthesis of La0.6Ca0.4Co0.8IrO3 perovskite for bi-functional catalysis in an alkaline electrolyte. J Power Sources 189: 1003–1007.
    [16] Tulloch J, Donne SW (2009) Activity of perovskite La1−xSrxMnO3 catalysts towards oxygen reduction in alkaline electrolytes. J Power Sources 188: 359–366. doi: 10.1016/j.jpowsour.2008.12.024
    [17] Zhuang S, Huang K, Huang C, et al. (2011) Preparation of silver-modified La0.6Ca0.4CoO3 binary electrocatalyst for bi-functional air electrodes in alkaline medium. J Power Sources 196: 4019–4025.
    [18] Wu X, Scott K (2012) A non-precious metal bifunctional oxygen electrode for alkaline anion exchange membrane cells. J Power Sources 206: 14–19. doi: 10.1016/j.jpowsour.2011.12.052
    [19] Jin C, Cao X, Zhang L, et al. (2013) Preparation and electrochemical properties of urchin-like La0.8Sr0.2MnO3 perovskite oxide as bifunctional catalyst for oxygen reduction and oxygen evolution reaction. J Power Sources 241: 225–230.
    [20] Meadowcroft DB (1970) Low-cost oxygen electrode material. Nature 226: 847–848. doi: 10.1038/226847a0
    [21] Tejuca LG, Fierro JLG, Tascon JMD (1989) Structure and reactivity of perovskite-type oxides. Adv Catal 36: 237–328.
    [22] Boivin JC, Mairesse G (1998) Recent material developments in fast oxide ion conductors. Chem Mater 10: 2870–2888. doi: 10.1021/cm980236q
    [23] White JH, Sammells AF (1993) Perovskite anode electrocatalysis for direct methanol fuel cells. J Electrochem Soc 140: 2167–2177. doi: 10.1149/1.2220791
    [24] Yu HC, Fung KZ, Guo TC, et al. (2004) Syntheses of perovskite oxides nanoparticles La1−xSrxMO3−δ (M = Co and Cu) as anode electrocatalyst for direct methanol fuel cell. Electrochim Acta 50: 811–816. doi: 10.1016/j.electacta.2004.01.121
    [25] Velraj S, Zhu JH (2013) Sm0.5Sr0.5CoO3−δ—A new bi-functional catalyst for rechargeable metal-air battery applications. J Power Sources 227: 48–52.
    [26] Wang L, Ara M, Wadumesthrige K, et al. (2013) Graphene nanosheet supported bifunctional catalyst for high cycle life Li-air batteries. J Power Sources 234: 8–15. doi: 10.1016/j.jpowsour.2013.01.037
    [27] Noroozifar M, Khorasani-Motlagh M, Ekrami-Kakhki MS, et al. (2014) Enhanced electrocatalytic properties of Pt–chitosan nanocomposite for direct methanol fuel cell by LaFeO3 and carbon nanotube. J Power Sources 248: 130–139. doi: 10.1016/j.jpowsour.2013.09.091
    [28] Peňa MA, Fierro JLG (2001) Chemical structures and performance of perovskite oxides. Chem Rev 101: 1981–2018. doi: 10.1021/cr980129f
    [29] Armstrong NH, Duncana KL, Wachsman ED (2013) Effect of A and B-site cations on surface exchange coefficient for ABO3 perovskite materials. Phys Chem Chem Phys 15: 2298–2308. doi: 10.1039/c2cp42919e
    [30] Marti PE (1994) Influence of the A-site cation in AMnO3+x and AFeO3+x (A = La, Pr, Nd and Gd) perovskite-type oxides on the catalytic activity for methane combustion. Catal Lett 26: 71–84. doi: 10.1007/BF00824033
    [31] Swette L, Kackley N, McCatty SA (1991) Oxygen electrodes for rechargeable alkaline fuel cells. III. J Power Sources 36: 323–339. doi: 10.1016/0378-7753(91)87010-9
    [32] Kannan AM, Shukla AK, Sathyanarayana SJ (1989) Oxide-based bifunctional oxygen electrode for rechargeable metal/air batteries. J Power Sources 25: 141–150. doi: 10.1016/0378-7753(89)85006-2
    [33] Kannan AM, Shukla AK (1990) Rechargeable iron/air cells employing bifunctional oxygen electrodes of oxide pyrochlores. J Power Sources 35: 113–121.
    [34] Swette L, Kackley N (1990) Oxygen electrodes for rechargeable alkaline fuel cells – II. J Power Sources 29: 423–436. doi: 10.1016/0378-7753(90)85015-5
    [35] Soares CO, Carvalho MD, Jorge MEM, et al. (2012) High Surface area LaNiO3 electrodes for oxygen electrocatalysis in alkaline media. J Appl Electrochem 42: 325–332.
    [36] Soares CO, Silva RA, Carvalho MD, et al. (2013) Oxide loading effect on the electrochemical performance of LaNiO3 coatings in alkaline media. Electrochim Acta 89: 106–113. doi: 10.1016/j.electacta.2012.11.040
    [37] Silva RA, Soares CO, Carvalho MD, et al. (2014) Stability of LaNiO3 gas diffusion oxygen electrodes. J Solid State Electr 18: 821–831.
    [38] Neburchilov V, Wang H, Martin JJ, et al. (2010) A review on air cathodes for zinc–air fuel cells. J Power Sources 195: 1271–1291. doi: 10.1016/j.jpowsour.2009.08.100
    [39] Manoharan R, Shukla AK (1985) Oxide supported carbon/air electrodes for alkaline solutions power devices. Electrochim Acta 30: 205–209. doi: 10.1016/0013-4686(85)80083-9
    [40] Karlsson G (1985) Perovskite catalysts for air electrodes. Electrochim Acta 30: 1555–1561. doi: 10.1016/0013-4686(85)80019-0
    [41] Wang W, Huang Y, Jung S, et al. (2006) A Comparison of LSM, LSF, and LSCo for solid oxide electrolyzer anodes. J Electrochem Soc 153: A2066–A2070. doi: 10.1149/1.2345583
    [42] Patrakeev MV, Bahteeva JA, Mitberg EB, et al. (2003) Electron/hole and ion transport in La1−xSrxFeO3−δ. J Solid State Chem 172: 219–231.
    [43] Tsipis EV, Kharton VV (2008) Electrode materials and reaction mechanisms in solid oxide fuel cells: a brief review. II. Electrochemical behavior vs. materials science aspects. J Solid State Electr 12: 1367–1391.
    [44] Sun C, Hui R, Roller J (2010) Cathode materials for solid oxide fuel cells a review. J Solid State Electr 14: 1125–1144. doi: 10.1007/s10008-009-0932-0
    [45] Anderson MD, Stevenson JM, Simner SP (2004) Reactivity of lanthanide ferrite SOFC cathodes with YSZ electrolyte. J Power Sources 129: 188–192. doi: 10.1016/j.jpowsour.2003.11.039
    [46] Kinoshita K (1992) Electrochemical Oxygen Technology, New York: John Wiley and Sons.
    [47] Wang J, Zhang Y, Guo W, et al. (2013) Electrochemical behavior of La0.8Sr0.2FeO3 electrode with different porosities under cathodic and anodic polarization. Ceram Int 39: 5263–5270.
    [48] Bronoel G, Grenier JC, Reby J (1980) Comparative behavior of various oxides in the various electrochemical reactions of oxygen evolution and reduction in alkaline medium. Electrochim Acta 25: 1015–1018. doi: 10.1016/0013-4686(80)87007-1
    [49] Bockris JOM, Otagawa T (1984) The electrocatalysis of oxygen evolution on perovskites. J Electrochem Soc 131: 290–302.
    [50] Wattiaux A, Grenier JC, Pouchard M, et al. (1987) Electrolytic oxygen evolution in alkaline medium of La1−xSrxFeO3−y perovskite/related ferrites I. Electrochemical study. J Electrochem Soc 134: 1714–1724.
    [51] Suresh K, Panchapagesan TS, Patil KC (1999) Synthesis and properties of La1−xSrxFeO3. Solid State Ionics 126: 299–305. doi: 10.1016/S0167-2738(99)00248-9
    [52] Moçoteguy P, Brisse A (2013) A review and comprehensive analysis of degradation mechanisms of solid oxide electrolysis cells. Int J Hydrogen Energ 38: 1587–15902.
    [53] Ramos T, Carvalho MD, Ferreira LP, et al. (2006) Structural and magnetic characterization of the series La1−xSrxFeO3. Chem Mater 18: 3860–3865. doi: 10.1021/cm060689s
    [54] Zafar A, Imran Z, Rafiq MA, et al. (2011) Evidence of Pool-Frenkel conduction mechanism in Sr-doped lanthanum ferrite La1−xSrxFeO3 (0 ≤ x ≤ 1) system. 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC).
    [55] Dann SE, Currie DB, Weller MT, et al. (1994) The effect of oxygen stoichiometry on phase relations and structure in the system La1−xSrxFeO3−δ (0 ≤ x ≤ 1, 0 ≤ δ ≤ 0.5). J Solid State Chem 109: 134–144. doi: 10.1006/jssc.1994.1083
    [56] Li XX, Qu W, Zhang JJ, et al. (2011) Electrocatalytic activities of La0.6Ca0.4CoO3 and La0.6Ca0.4CoO3-carbon composites toward the oxygen reduction reaction in concentrated alkaline electrolytes. J Electrochem Soc 158: A597–A604.
    [57] Staud N, Ross PN (1986) The corrosion of carbon black anodes in alkaline electrolyte II. Acetylene black and the effect of oxygen evolution catalysts on corrosion. J Electrochem Soc 133: 1079–1084.
    [58] Augustin CO, Selvan RK, Nagaraj R, et al. (2005) Effect of La3+ substitution on the structural, electrical and electrochemical properties of strontium ferrite by citrate combustion method. Mater Chem Phys 89: 406–411. doi: 10.1016/j.matchemphys.2004.09.028
    [59] Trasatti S, Petrii O (1991) Real surface area measurements in electrochemistry. Pure Appl Chem 63: 711–734.
    [60] Miyahara Y, Miyazaki K, Fukutsuka T, et al. (2014) Catalytic roles of perovskite oxides in electrochemical oxygen reactions in alkaline media. J Electrochem Soc 161: F694–F697. doi: 10.1149/2.019406jes
    [61] Mohamed R, Cheng X, Fabbri E, et al. (2015) Electrocatalysis of perovskites: The influence of carbon on the oxygen evolution activity. J Electrochem Soc 162: F579–F586. doi: 10.1149/2.0861506jes
    [62] Poux T, Napolsky FS, Dintzer T, et al. (2012) Dual role of carbon in the catalytic layers of perovskite/carbon composites for the electrocatalytic oxygen reduction reaction. Catal Today 189: 83–92. doi: 10.1016/j.cattod.2012.04.046
    [63] Nishio K, Molla S, Okugaki T, et al. (2015) Effects of carbon on oxygen reduction and evolution reactions of gas-diffusion air electrodes based on perovskite-type oxides. J Power Sources 298: 236–240. doi: 10.1016/j.jpowsour.2015.08.070
    [64] Matsumoto Y, Yoneyama H, Tamura H (1977) Catalytic activity for electrochemical reduction of oxygen of lanthanum nickel-oxide and related oxides. J Electroanal Chem 79: 319–326. doi: 10.1016/S0022-0728(77)80453-1
    [65] Parthasarathy A, Martin CR, Srinivasan S (1991) Investigations of the oxygen reduction reaction at the platinum nafion interface using a solid state electrochemical cell. J Electrochem Soc 138: 916–921. doi: 10.1149/1.2085747
    [66] Alegre C, Modica E, Aricò AS, et al. (2017) Bifunctional oxygen electrode based on a perovskite/carbon composite for electrochemical devices. J Electroanal Chem [In Press].
    [67] Wang J, Zhao H, Gao Y, et al. (2016) Ba0.5Sr0.5Co0.8Fe0.2O3−δ on N-doped mesoporous carbon derived from organic waste as a bi-functional oxygen catalyst. Int J Hydrogen Energ 41: 10744–10754.
    [68] Zhu Y, Zhou W, Yu J, et al. (2016) Enhancing electrocatalytic activity of perovskite oxides by tunning cation deficiency for oxygen reduction and evolution reactions. Chem Mater 28: 1691–1697. doi: 10.1021/acs.chemmater.5b04457
    [69] Alegre C, Modica E, Rodlert-Bacilieri M, et al. (2017) Enhanced durability of a cost-effective perovskite-carbon catalyst for the oxygen evolution and reduction reactions in alkaline environment. Int J Hydrogen Energ [In Press].
    [70] Li X, Pletcher D, Russell AE, et al. (2013) A novel bifunctional oxygen GDE for alkaline secondary batteries. Electrochem Commun 34: 228–230. doi: 10.1016/j.elecom.2013.06.020
    [71] Gorlin Y, Jaramillo TF (2010) A bifunctional nonprecious metal catalyst for oxygen reduction and water oxidation. J Am Chem Soc 132: 13612–13614. doi: 10.1021/ja104587v
    [72] Yuasa M, Yamazoe N, Shimanoe K (2011) Durability of carbon-supported La–Mn perovskite-base type of oxide for oxygen reduction catalysts in strong alkaline solutions. J Electrochem Soc 158: A411–A416. doi: 10.1149/1.3551499
    [73] Pourbaix M (1974) Atlas of electrochemical equilibria in aqueous solution, Houston, Tex, United States: National Association of Corrosion Engineers.
    [74] Karlson L, Lindström H (1986) Catalyst for oxygen evolution in bifunctional air-cathodes. J Mol Catal 38: 41–48. doi: 10.1016/0304-5102(86)87047-X
  • This article has been cited by:

    1. Viacheslav V. Saenko, Vladislav N. Kovalnogov, Ruslan V. Fedorov, Yuri E. Chamchiyan, Numerical Solution to Anomalous Diffusion Equations for Levy Walks, 2021, 9, 2227-7390, 3219, 10.3390/math9243219
    2. Viacheslav V. Saenko, Vladislav N. Kovalnogov, Ruslan V. Fedorov, Dmitry A. Generalov, Ekaterina V. Tsvetova, Numerical Method for Solving of the Anomalous Diffusion Equation Based on a Local Estimate of the Monte Carlo Method, 2022, 10, 2227-7390, 511, 10.3390/math10030511
    3. Vladislav N. Kovalnogov, Tamara V. Karpukhina, Yuri E. Chamchiyan, 2024, 3030, 0094-243X, 110002, 10.1063/5.0193210
  • Reader Comments
  • © 2017 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(6790) PDF downloads(1199) Cited by(7)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog