Jianyun Cao1,2, Dursun Ekren1,3, Yudong Peng1, Feridoon Azough1, Ian A Kinloch1,2, Robert Freer1. 1. Department of Materials, University of Manchester, Oxford Road, Manchester M13 9PL, U.K. 2. National Graphene Institute and Henry Royce Institute, University of Manchester, Oxford Road, Manchester M13 9PL, U.K. 3. Department of Metallurgy and Materials Engineering, Iskenderun Technical University, Iskenderun 31200, Hatay, Turkey.
Abstract
Modulation of the grain boundary properties in thermoelectric materials that have thermally activated electrical conductivity is crucial in order to achieve high performance at low temperatures. In this work, we show directly that the modulation of the potential barrier at the grain boundaries in perovskite SrTiO3 changes the low-temperature dependency of the bulk material's electrical conductivity. By sintering samples in a reducing environment of increasing strength, we produced La0.08Sr0.9TiO3 (LSTO) ceramics that gradually change their electrical conductivity behavior from thermally activated to single-crystal-like, with only minor variations in the Seebeck coefficient. Imaging of the surface potential by Kelvin probe force microscopy found lower potential barriers at the grain boundaries in the LSTO samples that had been processed in the more reducing environments. A theoretical model using the band offset at the grain boundary to represent the potential barrier agreed well with the measured grain boundary potential dependency of conductivity. The present work showed an order of magnitude enhancement in electrical conductivity (from 85 to 1287 S cm-1) and power factor (from 143 to 1745 μW m-1 K-2) at 330 K by this modulation of charge transport at grain boundaries. This significant reduction in the impact of grain boundaries on charge transport in SrTiO3 provides an opportunity to achieve the ultimate "phonon glass electron crystal" by appropriate experimental design and processing.
Modulation of the grain boundary properties in thermoelectric materials that have thermally activated electrical conductivity is crucial in order to achieve high performance at low temperatures. In this work, we show directly that the modulation of the potential barrier at the grain boundaries in perovskite SrTiO3 changes the low-temperature dependency of the bulk material's electrical conductivity. By sintering samples in a reducing environment of increasing strength, we produced La0.08Sr0.9TiO3 (LSTO) ceramics that gradually change their electrical conductivity behavior from thermally activated to single-crystal-like, with only minor variations in the Seebeck coefficient. Imaging of the surface potential by Kelvin probe force microscopy found lower potential barriers at the grain boundaries in the LSTO samples that had been processed in the more reducing environments. A theoretical model using the band offset at the grain boundary to represent the potential barrier agreed well with the measured grain boundary potential dependency of conductivity. The present work showed an order of magnitude enhancement in electrical conductivity (from 85 to 1287 S cm-1) and power factor (from 143 to 1745 μW m-1 K-2) at 330 K by this modulation of charge transport at grain boundaries. This significant reduction in the impact of grain boundaries on charge transport in SrTiO3 provides an opportunity to achieve the ultimate "phonon glass electron crystal" by appropriate experimental design and processing.
Grain boundaries exist in all polycrystalline materials and have
significant impact on, and may dominate, the overall structural and
functional properties of the material.[1−4] The modulation of grain boundaries’
characteristics (e.g., grain size, local elementary composition, chemical
state, etc.) provides an opportunity to tune bulk properties including
mechanical strength,[5] electronic and ionic
conductivity,[3,6−8] photovoltaic
efficiency,[4] and thermal conductivity.[9] Recently, interest has grown in the optimization
and enhancement of thermoelectric properties of inorganic compounds
via grain boundary (GB) engineering.[1,3,6,7]Thermoelectric materials that can generate electricity efficiently
from waste heat are of considerable interest in the development of
future sustainable society.[10−13] Particularly, in the forthcoming age of internet
of things enabled by the 5G network, the thermoelectric generator
that operates at room or near room temperatures can (i) convert the
low-grade waste heat (30–250 °C) generated by electronic
devices to electricity and (ii) power up wearable and mobile sensors
using human body heat.[14−16] For thermoelectric materials, the energy conversion
efficiency is evaluated by the dimensionless figure of merit (ZT), which is determined by the equation ZT = (S2σ/κ)T, where S, σ, κ, and T are the Seebeck coefficient, electrical conductivity, thermal conductivity,
and absolute temperature, respectively; thus, we need to maximize
charge transport and minimize thermal transport.[11] The presence of grain boundaries affects both the power
factor (S2σ) and the thermal conductivity
of bulk materials.[1,9,17] For
some materials, such as SrTiO3 and Mg3Sb2, the buildup of electrostatic potential at the GB acts as
a barrier for charge carrier transport, limiting the overall carrier
mobility, particularly at and near room temperature.[18−21] Meanwhile, the GB interface is itself a type of lattice defect assemblage
that assists in the reduction of thermal conductivity.[9,22] These conflicting effects of grain boundaries on electrical and
thermal transport present major challenges in the development of high-performance
nanocrystalline thermoelectric materials operating over a range of
temperatures. Therefore, modulation of grain boundaries, which can
reduce their impact on charge carrier transport while retaining their
ability to suppress lattice thermal conductivity, is in demand.Recent work on n-type SrTiO3-based thermoelectric ceramics
showed that the thermally activated behavior of low-temperature electrical
conductivity disappeared with the use of certain processing conditions
(temperature, oxygen partial pressure, etc.) and/or after incorporation
of additives (e.g., graphene).[3,18,22,23] The analysis of energy- and carrier
concentration-independent weighted mobility showed that charge transport
in polycrystalline SrTiO3 can approach that of a single
crystal.[7] Generally, this single-crystal-like
electrical conductivity at low temperature is attributed to the decrease
in GB resistance with the reduction of the built-in potential barrier
at the grain boundaries.[3,6,7,18] Localized changes in GB chemistry
and structure (elementary composition, chemical state, etc.) are thought
to be the primary reasons for the reduction of the potential barrier
at the grain boundaries.[3] However, to date,
there has been no direct evidence, either experimental or theoretical,
that links the GB potential with the change in temperature dependency
of conductivity in thermoelectric materials.A recently developed two-phase model,[1] which treated the GB as a separate phase with a band offset from
the neutral grain phase, was able to capture the measured temperature-dependent
electrical conductivity in Mg3Sb2-based compounds.
The band offset of the GB phase acted as a potential barrier for carrier
transport. This two-phase model showed good agreement with the grain
size-dependent conductivity in Mg3Sb2-based
compounds,[1] as the contribution of GB resistance
becomes much less dominant at larger grain sizes. However, perovskiteSrTiO3-based ceramics, with comparably small grain sizes
(0.5–5 μm) exhibited distinctly different temperature
dependencies of conductivity, showing either thermally activated or
single-crystal-like behavior.[22,24] This inconsistency
in charge transport in SrTiO3-based ceramic with similar
grain sizes strongly indicates that the intrinsic GB properties (e.g.,
built-in potential) vary from sample to sample, even for samples with
a similar stoichiometry.In this work, by combining experimental results with theoretical
modeling, we directly show that the modulation of the potential barrier
at grain boundaries effectively switches the low-temperature conductivity
of La-doped SrTiO3 from thermally activated to single-crystal-like
behavior. We begin with the prediction of temperature-dependent electrical
conductivity using the recently developed two-phase model; by lowering
the magnitude of the band offset at the GB (i.e., height of the potential
barrier), the low-temperature electrical conductivity changes from
thermally activated to single-crystal-like behavior. We experimentally
modulated the GB properties of La0.08Sr0.9TiO3 (LSTO) ceramic by control of processing conditions. The as-prepared
LSTO ceramic samples showed a gradual change in low-temperature electrical
conductivity from the thermally activated to single-crystal type,
with an order of magnitude increase in electrical conductivity and
power factor at 330 K. The experimental results fit well with the
two-phase model, showing good agreement for the dependency of electrical
conductivity on GB potential. Moreover, the reduction in GB potential
was confirmed by imaging the surface and analysis of local potential
by Kelvin probe force microscopy (KPFM).
Experimental Section
Materials
The starting powders of TiO2 (>99.9%) and SrCO3 (>99.9%) were obtained from Sigma-Aldrich (Gillingham,
Dorset, UK). La2O3 powder (>99.99%) was obtained
from PI-KEM (Magnus, Tamworth, UK). Isopropanol was supplied by Sigma-Aldrich
(Gillingham, Dorset, UK), and the graphene nanoplatelets (GNPs), grade
M25, were obtained from XG science (Lansing, USA).
Preparation
of La0.08Sr0.9TiO3 (LSTO) Powder
The A-site deficient La0.08Sr0.9TiO3 ceramic powder was prepared by a solid-state reaction approach.
The starting powders of TiO2, SrCO3, and La2O3 were weighed according to the stoichiometry
before mixing. The La2O3 powder was calcined
in air at 1173 K for 6 h to remove moisture before weighing. After
wet milling in isopropanol for 24 h using zirconia ball milling media,
the well-mixed powders were dried at 90 °C for 24 h. The solid-state
reaction to form LSTO was conducted in an alumina crucible at 1473
K in air for 8 h. The as-prepared LSTO powder was subjected to planetary
milling (Retsch planetary ball mill PM 100) at 350 rpm for 4 h to
reduce the average particle size to ∼590 nm.
Sintering
of LSTO Ceramics
The bulk LSTO ceramics were prepared by
conventional pressureless sintering. A uniaxial press was used to
compact the LSTO powders into green body pellets 15 or 20 mm in diameter
and 5 mm in height. The as-formed pellets were densified at 1700 K
under three types of conditions with an increasingly strong reducing
environment, namely, (1) Ar-H2-5%, (2) Ar-H2-5% and sacrificial carbon powder but not in direct contact with
the LSTO green body, and (3) Ar-H2-5% and sacrificial carbon
powder bed with the LSTO green body embedded; these three samples
are labeled LSTO-H2, LSTO-H2-C, and LSTO-H2-in-C, respectively. To create more oxygen vacancies, the
sintering time (24 h) for the LSTO-H2-C and LSTO-H2-in-C samples is longer than that of LSTO-H2 (12
h). The oxygen scavenging carbon powder bed is made of the aforementioned
LSTO power + 5 wt % GNPs. After sintering, the as-formed pellets were
cooled in the corresponding environments to room temperature and then
cut into bars and discs of appropriate sizes for detailed characterization.
Characterization
The density (ρ) of the LSTO ceramic was determined using
the Archimedes method. The crystal structure and lattice parameters
were characterized by X-ray diffraction (XRD) using a Philips X’Pert
diffractometer with the Cu Kα source (λCu Kα = 1.540598 Å). A continuous scan between 20 and 100° was
recorded using 0.0167° step size and a dwell time of 6 s per
step. X’Pert HighScore and TOPAS software were used for phase
identification and Rietveld refinement. The grain size was undertaken
on polished surfaces by scanning electron microscopy (SEM, TESCAN
MIRA3 SC FEG-SEM), and the linear intercept method was used to determine
the average grain size.[25] X-ray photoelectron
spectra (XPS) were collected with a Kratos Axis Ultra spectrometer
using monochromatic Al Kα radiation (Esource = 1486.69 eV). CasaXPS software was used for deconvolution
of the Ti 2p core level with a Shirley-type background. Atomic force
microscopy (AFM) and KPFM were performed using a JPK NanoWizard 4
XP NanoScience atomic microscope equipped with a Kelvin probe microscopy
module. The images were recorded using a Pt–Ir-coated silicon
probe (SCM-PIT-V2, Bruker).
Thermoelectric
Measurements
A ULVAC ZEM-3 system was used to simultaneously
determine electrical conductivity and Seebeck coefficients; the measurements
were performed at temperatures from 300 to 900 K in a low-pressure
helium atmosphere. This inert atmosphere with low oxygen partial pressure,
together with the medium–high temperature limit of 900 K, ensures
the stability of materials’ properties during measurements.[26,27] Thermal diffusivity (D) was determined using the
laser flash method with a Netzsch LFA-457 laser flash apparatus in
an argon atmosphere. Differential scanning calorimetry (Netzsch DSC
404 F1 Pegasus) was used to measure the heat capacity (C); the measurements were performed in
an argon atmosphere. The thermal conductivity (κ) was obtained
from κ = DρC.
Results
and Discussion
Figure a–d
illustrates the way that a negatively charged GB forms and behaves
as a potential barrier for electron transport in SrTiO3-based materials. Based upon Snyder’s work,[3,7] the
formation of a potential barrier in n-type SrTiO3 can be
ascribed to the reduction of the concentration of the dominant point
defect (oxygen vacancies) near the GB (Figure a). Literature results from molecular dynamic
simulation also indicate the depletion of oxygen vacancies in regions
near dislocation cores,[28] which are analogue
lattice defects to the grain boundaries. On the assumption that the
concentrations of cations are constant across the GB (Figure b), the depletion of positively
charged oxygen vacancies (electron-donating defects) near grain boundaries
compared to bulk grains induces the difference in Fermi energy levels,
promoting electron transfer from the grain to the GB to maintain the
equilibrium of the Fermi energy level. This charge transfer leads
to a negative potential at the GB region, which alters the local electronic
structure at the GB by bending the conductive band upward (Figure c).[1,3,29] Energy band diagrams of two grains
and their boundary region before and after contact are illustrated
in Figure S1a,b, respectively. The trapped
electrons at the GB results in much less free carriers in the vicinity
of the GB and thus greater resistance compared to the bulk neutral
grain (Figure d). Figure e depicts the overall
principle of a GB potential in n-type La-doped SrTiO3 acting
as a barrier for majority carrier (i.e., electrons) transport. In
addition, the grain boundaries with lattice mismatch act as scattering
centers for carrier transport. The combination of a potential barrier
and lattice defects at the grain boundaries leads to compromised electrical
conductivity compared to that of the bulk neutral grain. The two-phase
model treats the GB as a secondary phase with (i) a band offset (ΔE) from the bulk grain phase (Figure f), representing the band bending, and (ii)
a different carrier scattering mechanism from the bulk grain phase,
mimicking carrier scattering, because of the lattice mismatch.
Figure 1
Diagrams showing that (a) concentration of oxygen vacancy is lower
near the GB compared with the bulk grain, (b) concentrations of cations
remain across the GB, (c) CBM bends upward because of the equilibrium
of the Fermi energy level, and (d) reduced concentration of the free
carrier at the vicinity of the GB. (e) Schematic illustration of the
potential barrier across the GB, G represents a neutral grain and
the black dots and arrows represent the transport of free electrons
being inhibited by the GB barrier. (f) Schematic illustration of the
two-phase model for the band offset (ΔE) in
the GB phase.
Diagrams showing that (a) concentration of oxygen vacancy is lower
near the GB compared with the bulk grain, (b) concentrations of cations
remain across the GB, (c) CBM bends upward because of the equilibrium
of the Fermi energy level, and (d) reduced concentration of the free
carrier at the vicinity of the GB. (e) Schematic illustration of the
potential barrier across the GB, G represents a neutral grain and
the black dots and arrows represent the transport of free electrons
being inhibited by the GB barrier. (f) Schematic illustration of the
two-phase model for the band offset (ΔE) in
the GB phase.In detail, the Fermi energy level of a GB phase (EF,GB) measured from the band edge (CBM: conductive band
minimum) is defined by the band offset to be[1]where EF,G is
the Fermi energy level of the grain phase measured from the CBM, positive
for free carrier energy that is higher than the CBM energy level.Since the band offset ΔE also depends on
the doping level of the material, an empirical, linear form of the
band offset function can be used to describe the energy dependency
of ΔEwhere
ΔE0 is the reference band offset
at EF,G = 0; it defines the magnitude
of the band offset and therefore acts as a modeling parameter in this
work; the coefficient a is an empirical parameter
which determines the energy dependency of ΔE.With a known Fermi energy level, the electrical conductivity (σ)
and Seebeck coefficient (S) of the grain and GB phases
can be calculated by the well-established carrier transport equations[30]where the transport coefficient σ(T) is a temperature-dependent but
energy-independent coefficient that determines the magnitude of electrical
conductivity; T is the absolute temperature, s is the transport parameter related to the carrier scattering
mechanism; η is the reduced Fermi energy level (η = EF/kBT); kB is the Boltzmann constant; e is the elementary charge, and F(η) is the Fermi–Dirac integralwhere ϵ is the reduced particle energy (ϵ = E/kBT; E: particle energy).For the neutral grain phase of SrTiO3 compounds, acoustic
phonon scattering (s = 1) is assumed to be the dominant
carrier scattering mechanism,[7,22] with a crystalline
metallic-type temperature dependency of the transport coefficient
(σ(T) ∝ 1/T; the subscript G denotes the grain
phase). Earlier studies suggest that the donor concentration (point
defects: [LaSr•] or [VO••]) dependency of carrier mobility in single-crystal SrTiO3 only becomes significant at low temperatures (e.g., <150 K).[17,31] The present work is focusing on room temperature and above, and
thus, the ionic impurity scattering is not included as a scattering
source in bulk neutral grain. We verified this assumption by fitting
literature data for carrier transport for La- or Nb-doped SrTiO3 single crystals,[32] using the value
of σ at 300 K as
a fitting parameter. The modeled results with σ = 900 S cm–1 at
300 K (Figure S2) agree well with the reported
temperature dependency of electrical conductivity, as well as the
log |S| – log σ plot. Hence, s = 1 and σ(T) ∝ 1/T with a value of
900 S cm–1 at 300 K were used as universal modeling
parameters for the neutral grain phase in this work. For the GB phase
with space charge and lattice mismatch, an ionized-impurity scattering
model (s = 3; σ(T) ∝ T3, the subscript GB denotes the GB phase) was used,[1] with σ = 0.15 S cm–1 at 300 K. Table shows the optimized modeling
parameters for our materials.
Table 1
Modeling Parameters for La0.08Sr0.9TiO3−δ (LSTO) Prepared with Different Sintering
Conditions
band
offset function
transport
coefficient (300 K)
sample
tGBa
a
ΔE0 (meV)
σE0,G (S cm–1)
σE0,GB (S cm–1)
LSTO-H2
0.001 (1.75 μm)
0.3
100
900
0.15
LSTO-H2-C
0.0005 (3.69 μm)
75
LSTO-H2-in-C
0.0005 (2.67 μm)
10
The average grain size of the sample
is shown in the parenthesis.
The average grain size of the sample
is shown in the parenthesis.A simple series circuit model was used to calculate the overall
charge transport behavior; the overall electrical conductivity σ
was obtained fromwhere tGB is the size fraction of the GB phase in the ceramic. The value of tGB is proportional to the grain size and thus
can be estimated from microstructure characterization. This estimation
of tGB from the grain size assumes that
the thickness of the carrier-depleted region is consistent for different
samples, that is, the thickness of the carrier depletion region is
independent of the magnitude of the potential barrier. This assumption
is reasonable as the SrTiO3-based ceramics developed for
thermoelectric applications have high donor concentrations, typically
∼1020 cm–3; therefore, the charge
screening length should be similar. Although a more accurate description
of a real GB should correlate the thickness of the depletion region
to the magnitude of the potential barrier,[33] we found that the current approximation is sufficiently good to
fit the experimental results.For the overall Seebeck coefficient S, in view
of the small fraction of the GB phase in the ceramic (tGB < 0.001), we followed the recent work of Kuo et
al.[1] and assumedwhere SG is the Seebeck
coefficient of the bulk grain; see detailed explanations in the Supporting Information and Figure S3. Note that the energy filtering effect of GB barriers
on Seebeck coefficients only becomes prominent for nanostructured
materials with grain sizes <50 nm or the size fraction of the barrier
phase being high.[34,35] The present work focuses on SrTiO3-based ceramics that have grain sizes over 1 μm, and
thus, their Seebeck coefficients should be dominated by carrier concentration.
The assumption of S ≈ SG allowed extraction of the reduced Fermi energy level η
of the grain phase, using eq , from the experimentally measured overall Seebeck coefficient
of the ceramic. In turn, this allows calculation of the reduced Fermi
energy level of the GB phase using eq and . Subsequently, the carrier transport characteristic of the polycrystalline
SrTiO3 was modeled with only one variable, ΔE0.To demonstrate the approach, we modeled the impact of ΔE0 on the temperature dependencies of electrical
conductivity (Figure a); the set of Seebeck coefficients for determining the reduced Fermi
energy level of the grain phase was obtained from the LSTO-H2 sample that will be discussed later. Obviously, with the decrease
in ΔE0 from 80 to 10 meV, the temperature
dependency of conductivity at low temperatures (300–450 K)
switches from a thermally activated type to a metallic type. The dramatically
enhanced conductivity suggests high power factor values, as the increase
in conductivity is due to the change in GB property rather than a
change in the carrier concentration of the neutral grain phase (i.e.,
Seebeck coefficients remain unchanged). The plots of modeled log |S| – log σ and power factor—log σ
(Figure b) clearly
illustrate the enhancement in the powder factor by reduction of GB
barrier heights. For instance, with a Seebeck coefficient of 100 μV
K–1, the reduction of ΔE0 from 80 to 10 meV leads to the enhancement of the power factor
from 360 to 1560 μW m–1 K–2 (labeled in Figure b).
Figure 2
Theoretical predictions for GB-dominated charge transport in SrTiO3 ceramics using the two-phase model. (a) Modeled temperature
dependency of electrical conductivity for SrTiO3 ceramics
with different reference band offset values (ΔE0) and a fixed tGB value of
0.0005; other parameters (a, σ, and σ) are kept at the universal values shown in Table . (b) Simulated log
|S| – log σ plots (thick solid lines)
and plots of the power factor as a function of log σ (feint
lines) at room temperature (300 K) for SrTiO3 ceramics
with different values of ΔE0. The
modeled results for a single crystal (tGB = 0; solid black line) are added for reference purposes.
Theoretical predictions for GB-dominated charge transport in SrTiO3 ceramics using the two-phase model. (a) Modeled temperature
dependency of electrical conductivity for SrTiO3 ceramics
with different reference band offset values (ΔE0) and a fixed tGB value of
0.0005; other parameters (a, σ, and σ) are kept at the universal values shown in Table . (b) Simulated log
|S| – log σ plots (thick solid lines)
and plots of the power factor as a function of log σ (feint
lines) at room temperature (300 K) for SrTiO3 ceramics
with different values of ΔE0. The
modeled results for a single crystal (tGB = 0; solid black line) are added for reference purposes.We then fitted literature data for electrical conductivity for
SrTiO3-based ceramics,[18,36] using the
two-phase model. Typical fitting results are presented in Figure . We found that a
set of universal fitting parameters (a = 0.3, ΔE0 = 100 meV, tGB = 0.00025, σ =
900 S cm–1, and σ = 0.15 S cm–1) is sufficient to
provide good agreement with the experimental results. In addition,
for LaSr1–TiO3 with the medium–high doping level (x = 0.125 to 0.15), the high electrical conductivity due
to high carrier concentration overwhelmed GB resistance at low temperatures,
leading to a metallic-type conductivity. However, this way of achieving
high conductivity at low temperatures, by heavy doping, has the disadvantage
that Seebeck coefficients are severely reduced. In fact, a small Seebeck
coefficient, down to ∼65 μV K–1 at
470 K as shown in Figure a,c, is required to give the neutral-grain sufficiently high
electrical conductivity to overwhelm the GB resistance at room temperature
(Figure b,d).
Figure 3
Fitting of the measured carrier transport results from the literature
using the two-phase model. Experimental data points are displayed
as symbols, and the modeled results are shown as solid lines. Data
points for Seebeck coefficients (a) and electrical conductivity (b)
are from the work of Lu et al.[36] Data points
for the Seebeck coefficient (c) and electrical conductivity (d) are
from Boston et al.[18]
Fitting of the measured carrier transport results from the literature
using the two-phase model. Experimental data points are displayed
as symbols, and the modeled results are shown as solid lines. Data
points for Seebeck coefficients (a) and electrical conductivity (b)
are from the work of Lu et al.[36] Data points
for the Seebeck coefficient (c) and electrical conductivity (d) are
from Boston et al.[18]The current literature lacks results from a set of pure SrTiO3-based samples that have the same stoichiometry and comparable
Seebeck coefficients, but distinctly different electrical conductivities,
to allow a detailed study of GB effects. Nevertheless, an earlier
report,[17] together with recent investigations,[3,18,22] of SrTiO3-based electronic
ceramics implies that it should be possible to experimentally modulate
the GB property by the control of processing conditions (temperature,
oxygen partial pressure, etc.). The change in processing conditions,
such as a higher temperature and/or more reducing atmosphere with
lower oxygen partial pressure, lead to a transformation of low-temperature
conductivity from thermally activated to a metallic type.[18,37] This change in conductivity behavior is suspected to be predominantly
due to the modulation of grain boundaries (e.g., a localized increase
in concentration of oxygen vacancies).[17]Therefore, we experimentally modulated the GB properties (e.g.,
oxygen vacancy concentration) of La0.08Sr0.9TiO3 (LSTO) ceramic via control of the reducing strength
of the sintering environment (indirect control of oxygen partial pressure).
Sample preparation details are illustrated in Figure and described in the Experimental
Section. The relative densities for the sintered LSTO-H2, LSTO-H2-C, and LSTO-H2-in C samples
are 94.0, 96.0, and 89.3%, respectively.
Figure 4
Schematic illustrations for the sintering of LSTO ceramics under
different conditions with an increasingly strong reducing environment
from left to right. The oxygen scavenging sacrificial carbon powder
bed is made of LSTO + 5 wt % GNPs.
Schematic illustrations for the sintering of LSTO ceramics under
different conditions with an increasingly strong reducing environment
from left to right. The oxygen scavenging sacrificial carbon powder
bed is made of LSTO + 5 wt % GNPs.XRD patterns collected from the three LSTO samples (Figure a) show a cubic perovskite
structure with Pm3̅m space
group symmetry. The decrease in diffraction angle for the samples
prepared in more reducing environments (inset of Figure a) suggests an increase in
the lattice parameter (Table ). This increase corresponds to an increasing fraction of
the small-sized Ti4+ (60.5 pm) being converted to relatively
larger-sized Ti3+ (67 pm).[23] XPS further confirmed the increasing degree of reduction of the
LSTO samples from the more reducing environments. The deconvolution
of Ti 2p core levels (Figure b) leads to quantization of the concentration of Ti3+ as a fraction of total Ti, that is, (Ti3+/Ti); the Ti3+ concentrations for the LSTO-H2, LSTO-H2-C, and LSTO-H2-in-C are 3.0, 3.2, and 4.4%, respectively.
This enhancement in the Ti3+ concentration implies a higher
concentration of oxygen vacancies according to
Figure 5
Characterization of the LSTO ceramics sintered under three different
conditions with an increasingly strong reducing environment. (a) XRD
pattern for the three LSTO samples. (b) XPS Ti 2p core levels for
the three LSTO samples. (c–e) SEM micrographs showing grain
sizes of the LSTO-H2, LSTO-H2-C, and LSTO-H2-in-C samples, respectively.
Table 2
Carrier Concentration Estimated from the Ti3+/Ti and the Corresponding Drift Mobility and Effective Mass at 330
K
sample
a (Å)
Ti3+/Ti (%)
n (1020 cm–3)
σ (S cm–1)
S (μV K–1)
μ (cm2 V–1 s–1)
m*/m0a
LSTO-H2
3.9080
3.0
5.02
85 ± 4
–129 ± 9
1.1
3.7
LSTO-H2-C
3.9087
3.2
5.39
492 ± 25
–116 ± 8
5.7
3.5
LSTO-H2-in-C
3.9095
4.4
7.36
1288 ± 64
–115 ± 8
10.9
4.2
Free electron mass (m0).
Characterization of the LSTO ceramics sintered under three different
conditions with an increasingly strong reducing environment. (a) XRD
pattern for the three LSTO samples. (b) XPS Ti 2p core levels for
the three LSTO samples. (c–e) SEM micrographs showing grain
sizes of the LSTO-H2, LSTO-H2-C, and LSTO-H2-in-C samples, respectively.Free electron mass (m0).The determination of Ti3+ concentration also allows
the estimation of carrier concentration (n) by[38]where Nfu is the number
of formula per unit cell (1 for SrTiO3) and Vuc is the volume of the unit cell. The calculated results
are displayed in Table . The LSTO-H2-in-C shows the highest carrier concentration
of 7.36 × 1020 cm–3.Figure displays
the temperature-dependent carrier transport properties for the three
LSTO ceramic samples. The absolute value of the Seebeck coefficient
(Figure a) is slightly
lower for the samples sintered in the more reducing environments,
corresponding to the higher carrier concentrations implied by the
Ti3+ concentration (Table ). In contrast to the relatively small variation in
the Seebeck coefficient, the three LSTO samples exhibit distinctly
different electrical conductivities, particularly at temperatures
below 500 K (Figure b). For example, at 330 K, there is over 1 order of magnitude difference
in electrical conductivity between the LSTO-H2 (85 S cm–1) and the LSTO-H2-in-C (1287 S cm–1) samples. Considering the variation of density between these three
samples, we estimated their effective conductivities at 330 K following
a published approach based on Maxwell equations,[39] see details in the Supporting Information and Table S1. The results show that the
effective electrical conductivity is higher than the experimental
values, and the conductivity increase due to correction is more pronounced
for the samples containing a higher degree of porosity.
Figure 6
Temperature-dependent electric charge transport properties of the
as-prepared LSTO ceramic samples; experimental data are represented
by solid symbols. (a) Seebeck coefficient and (b) electrical conductivity;
solid lines are from the model, using the parameters listed in Table ; the simulated curves
well capture the evolution of electrical conductivity with temperature.
(c) Power factor and (d) weighted mobility; the weighted mobility
of single-crystal La-doped SrTiO3 calculated from the literature
data[32] is included for comparison purposes.
Temperature-dependent electric charge transport properties of the
as-prepared LSTO ceramic samples; experimental data are represented
by solid symbols. (a) Seebeck coefficient and (b) electrical conductivity;
solid lines are from the model, using the parameters listed in Table ; the simulated curves
well capture the evolution of electrical conductivity with temperature.
(c) Power factor and (d) weighted mobility; the weighted mobility
of single-crystal La-doped SrTiO3 calculated from the literature
data[32] is included for comparison purposes.In addition to distinct differences in the magnitude of electrical
conductivity, the as-prepared samples also show very different temperature
dependencies, particularly at low temperature. Both of the LSTO-H2 and LSTO-H2-C samples show a typical GB-dominated,
thermally activated conductivity, that is, at low temperatures, the
electrical conductivity increases, reaches a maximum, and then decreases
at higher temperatures. Due to the larger grain size of LSTO-H2-C and plausibly lower GB potential barrier compared to LSTO-H2, the LSTO-H2-C has higher electrical conductivity
at low temperatures and peak electrical conductivity at a lower temperature
(smaller thermal energy needed to overcome the GB resistance). More
interestingly, although LSTO-H2-in-C has a smaller grain
size (2.67 μm) than that of the LSTO-H2-C (3.69 μm),
the LSTO-H2-in-C sample exhibits a metallic-type (i.e.,
single-crystal-like) electrical conductivity in the measured temperature
range from 300 to 900 K, with the highest conductivity of up to 1423
S cm–1 at ∼300 K. This switch of temperature
dependency is primarily due to the change in the grain boundaries’
property (barrier height) rather than the grain size.To provide further insight into the GB processes, we first calculated
the electrical conductivity of the neutral grain phase using eq and the reduced Fermi
energy level η extracted from the measured Seebeck coefficients
(Figure a) according
to eq . The calculated
conductivities of the neutral grain phase for the LSTO-H2, LSTO-H2-C, and LSTO-H2-in-C samples are quite
similar, particularly the latter two (Figure S4). This decoupling of the neutral-grain-phase electrical conductivity
from the measured overall conductivity directly indicates the dominance
of grain boundaries in carrier transport in polycrystalline SrTiO3-based ceramics. We subsequently fitted the measured electrical
conductivity data with the two-phase model (eq ), using parameters listed in Table ; the reduced Fermi energy level
of the GB phase was calculated using eq and the band offset function (eq ), with ΔE0 as the only fitting parameter. The value of tGB was chosen according to the average grain size from SEM
images (Figure c–e)
and empirically according to the literature,[1] as discussed above, and is therefore considered as a “known”
parameter. The solid lines displayed in Figure b are from the two-phase model; the simulated
results fit well to the measured electrical conductivity. The ΔE0 values that lead to the best fit of the measured
conductivity data are 100, 75, and 10 meV for LSTO-H2,
LSTO-H2-C, and LSTO-H2-in-C samples, respectively.The power factor (S2σ) exhibits
similar temperature dependency as that of the electrical conductivity
(Figure c). The LSTO-H2-in-C has the highest power factor value of 1745 μW
m–1 K–2 at room temperature, an
order of magnitude higher than that of the LSTO-H2 sample
(143 μW m–1 K–2) at 330
K. In addition, the LSTO-H2-C also shows a high power factor
value of 1337 μW m–1 K–2 at 570 K. These power factor values are among the highest values
reported for SrTiO3-based compounds (Table S2).[6,18,20−24,36,38,40−44]We further computed the weighted mobility (μw)
of the LSTO samples from the measured electrical conductivity and
Seebeck coefficients using the approach reported recently by Snyder
et al.[7,45] In detail, the LSTO ceramic was treated
as a homogeneous phase with acoustic phonon scattering as the dominating
scattering mechanism (transport parameter s = 1),
the reduced Fermi energy level η at each temperature was extracted
from the Seebeck coefficients using eq , and then, the temperature-dependent transport coefficient
σ(T) was computed according to eq . The determination of the transport coefficient σ(T) then leads
to the calculation of weighted mobility bywhere me is the free electron mass and h is
the Plank constant. This weighted mobility is temperature-dependent
but energy- and carrier concentration-independent and allows a direct
comparison of carrier mobility for samples at various doping levels.
The comparison of weighted mobility derived from the literature data
for SrTiO3-based single crystals[32] shows similar values of weighted mobility, regardless of the doping
concentration (Figure S5). Figure d shows the computed μw for the three LSTO samples prepared in the present work.
Significant enhancement of μw is obvious for the
LSTO prepared in the most reducing environment; it has the smallest
ΔE0 value from the two-phase model.
Excitingly, the LSTO-H2-in-C sample with a metallic-type
electrical conductivity at the measured temperature range exhibits
a weighted mobility approaching that of the single crystal (Figure d).The carrier concentration n determined from compositional
data by eq also allows
the estimation of drift mobility (μ) from the measured electrical
conductivity using the Drude–Sommerfeld free-electron modelFurthermore, with the parabolic band and energy-independent scattering
approximation, the carrier effective mass (m*) was
estimated from the measured Seebeck coefficients by[38]The estimated values of μ and m* at 330
K are presented in Table . It is interesting to note that the best performing LSTO-H2-in-C sample shows the highest effective mass (m*/m0 = 4.2) and highest drift mobility
(μ = 10.9) among the three measured samples. These values are
comparable to literature values reported for mobility (μ = 9.2)
and effective mass (m*/m0 = 6.0) for a single crystal with a similar carrier concentration
(n = 6.8 × 1020 cm–3) at room temperature.[32]The carrier transport and modeling results strongly indicate a
reduction of the height of potential barriers at grain boundaries.
To verify this reduction of the potential barrier, we used KPFM, also
known as scanning surface potential microscopy, to characterize the
contact potential difference (CPD) across the grain boundaries. The
AFM height images of the sample surface were collected simultaneously
during the KPFM measurement. Figure presents the height and CPD images collected from
the LSTO-H2 (Figure a,b) and LSTO-H2-in-C (Figure d,e) samples. The grain boundaries are clearly
distinguishable in both the height and CPD images due to the height
variation of adjacent grains and the existence of potential barriers
at the grain boundaries, respectively. The height profiles (Figure c,f) extracted from
the lines marked in Figure a,d indicate a well-defined stair feature, showing a height
variation of around 2 nm between the adjacent grains. In contrast,
the profiles of CPD do not follow that of the topography but exhibit
a valley at the GB region, suggesting negatively charged grain boundaries
as expected.
Figure 7
AFM and KPFM characterization for the LSTO-H2 and LSTO-H2-in-C samples. (a) AFM height and (b) the corresponding CPD
images for the LSTO-H2 sample with high GB potential; (c)
extracted height (upper panel) and CPD (lower panel) profiles for
the black lines marked in (a,b), respectively. (d) AFM height and
(e) the corresponding CPD images for the LSTO-H2-in-C sample
with low GB potential; (f) the extracted height (upper panel) and
CPD (lower panel) profiles for the black lines marked in (d,e), respectively.
AFM and KPFM characterization for the LSTO-H2 and LSTO-H2-in-C samples. (a) AFM height and (b) the corresponding CPD
images for the LSTO-H2 sample with high GB potential; (c)
extracted height (upper panel) and CPD (lower panel) profiles for
the black lines marked in (a,b), respectively. (d) AFM height and
(e) the corresponding CPD images for the LSTO-H2-in-C sample
with low GB potential; (f) the extracted height (upper panel) and
CPD (lower panel) profiles for the black lines marked in (d,e), respectively.More importantly, the magnitude of this negatively charged potential
barrier at the GB clearly differs between the two measured samples,
∼6 mV for the LSTO-H2 sample and <3 mV for the
LSTO-H2-in-C. The smaller magnitude of negative potential
at the GB of LSTO-H2-in-C compared to that of the LSTO-H2 sample correlates well with differences in their temperature
dependency of conductivity and the ΔE0 values from the two-phase model (Figure b). Obviously, the measurement of surface
potential by KPFM provides direct evidence that the LSTO-H2-in-C sample with a single-crystal-like carrier transport behavior
has a smaller potential barrier at the grain boundaries than the LSTO-H2 with thermally activated conductivity. Nevertheless, there
is a discrepancy between specific values of the measured potential
barrier (several mV in scale) by KPFM and the band offset ΔE (10–100 meV) from the fitting of electrical conductivity
with the two-phase model. This discrepancy is probably due to charge
accumulation at the sample surface and the resolution limit of KPFM,
causing the lowering and widening of the potential profile.[46]The two-phase model successfully reproduced the temperature-dependent
electrical conductivity of the LSTO samples with the ΔE0 defining the magnitude of band offset as the
only fitting parameter. The measurement of GB potential by KPFM confirmed
the soundness of using the magnitude of the band offset (i.e., potential
barrier height) at the GB as a fitting parameter. We further simulated
plots of (i) log |S| – log σ and (ii)
power factor as a function of log σ at a temperature of 330
K, using the parameters listed in Table . The simulated plots are presented as lines
in Figure ; the symbols
are experimental values from the three LSTO samples prepared in this
work. The simulated plots fit well with the experimental results.
According to Figure , it is clear that we achieved an order of magnitude enhancement
in electrical conductivity with only minor sacrifice of Seebeck coefficients
by the modulation of GB properties. This conductivity enhancement
further leads to an order of magnitude increase in power factor. Nevertheless,
the power factor of the LSTO ceramic has not yet fully approached
that of the single crystal. On the basis of the two-phase model, further
enhancement of the power factor is achievable by reduction of the
size fraction of GB phase tGB and/or the
increase in the transport coefficient of the GB phase σE.
Figure 8
Modeled plots of (i) log Seebeck coefficients as a function of
log electrical conductivity (thick solid lines) and (ii) power factor
as a function of log electrical conductivity (feint lines) at room
temperature (330 K) for the three LSTO ceramic samples prepared in
the present work. The symbols are experimental results of log |S| – log σ (solid symbols) and power factor
vs log σ (open symbols).
Modeled plots of (i) log Seebeck coefficients as a function of
log electrical conductivity (thick solid lines) and (ii) power factor
as a function of log electrical conductivity (feint lines) at room
temperature (330 K) for the three LSTO ceramic samples prepared in
the present work. The symbols are experimental results of log |S| – log σ (solid symbols) and power factor
vs log σ (open symbols).According to this significant enhancement of the power factor at
room temperature, the ZT value of LSTO-H2-in-C increases by an order of magnitude to 0.07 from that of LSTO-H2 (0.007) at 330 K (Figure S6).
To achieve a high ZT value, it is necessary to reduce/maintain
thermal conductivity of LSTO at a relatively low level while enhancing
its electrical conductivity. Ideally, the lattice contribution to
the thermal conductivity should remain unchanged when the electronic
transport behavior switches from a thermally activated to a single-crystal-like
behavior. From the Wiedemann–Franz law, we estimated the electronic
contribution (κelectronic) of the thermal conductivity
by κelectronic = LσT, where L is the Lorenz number and is
determined by the transport equation (single parabolic band, acoustic
phonon scattering s = 1)The reduced Fermi energy level η at each temperature was
extracted from measured Seebeck coefficients according to eq . The lattice contribution
(κlattice) to the total thermal conductivity (κtotal) is obtained by κlattice = κtotal – κelectronic.This deconvolution of electronic and lattice contributions to the
total thermal conductivity (Figure S7a,b) indicates that the higher total thermal conductivity of LSTO-H2-in-C (8.1 W m–1 K–1)
compared to that of LSTO-H2 (6.9 W m–1 K–1) at 323 K is primarily due to the electronic
contribution (0.8 W m–1 K–1).
This much reduced impact of GB modulation on the lattice thermal conductivity
compared to electrical conductivity implies an opportunity to achieve
the ultimate “phonon glass electron crystal” target
by grain size refinement. Earlier work demonstrated a room temperature
thermal conductivity as low as 1.2 W m–1 K–1 for La-doped (10 at %) SrTiO3 ceramic with a grain size
of 24 nm.[9] Moreover, for nanostructured
materials with a grain size of <50 nm, energy filtering effects
become predominant.[34,35] An earlier computational study
indicates an opportunity to enhance both the Seebeck coefficient and
power factor via the energy filtering effect by a precise control
of both the barrier height and grain size, the optimum barrier height
being around kBT, ∼26
meV at room temperature,[35] which is close
to the modeled value in this work for the LSTO-H2-in-C
sample (10 meV). However, the creation of a sufficiently high concentration
of oxygen vacancies at the grain boundaries requires high temperature
and long-term annealing of LSTO in low oxygen partial pressure environments,
which is in conflict with the need to limit grain growth. This challenging
target might be achievable via the advancement of ceramic processing
technologies and/or development of composites in which the secondary
components (e.g., graphene) restrain grain growth, while facilitating
the creation of oxygen vacancies at the GB.[6,7,22,40,43]
Conclusions
We have shown that by both experimental results and modeling, the
modulation of the built-in electrostatic potential at the grain boundaries
of SrTiO3 leads to charge carrier transport approaching
that of single crystals. The two-phase model successfully accounted
for the GB potential as a band offset from the neutral grain, highlighting
its dominant role in tuning the low-temperature dependency of electrical
conductivity. The model showed good agreement with the properties
of experimentally prepared LSTO samples that exhibit gradual changes
in electrical conductivity behavior from the thermally activated to
single-crystal type. KPFM imaging of the surface potential further
confirmed the reduced GB potential for LSTO samples with single-crystal-like
carrier transport behavior. The successful modulation of GB charge
transport leads to an order of magnitude enhancement in the power
factor value from 143 to 1745 μW m–1 K–2 at 330 K. This work provided further insights and
understanding of GB effects on the electrical charge transport in
polycrystalline SrTiO3perovskite and guidance in the design
of effective routes to further enhance performance via GB engineering.
Authors: Xin Xu; Yuzi Liu; Jie Wang; Dieter Isheim; Vinayak P Dravid; Charudatta Phatak; Sossina M Haile Journal: Nat Mater Date: 2020-04-13 Impact factor: 43.841
Authors: Feridoon Azough; Ali Gholinia; Diana T Alvarez-Ruiz; Ercin Duran; Demie M Kepaptsoglou; Alexander S Eggeman; Quentin M Ramasse; Robert Freer Journal: ACS Appl Mater Interfaces Date: 2019-08-28 Impact factor: 9.229