Jesus L A Ponce-Ruiz1, Seiya Ishizuka2, Yoshikazu Todaka2, Yuki Yamada2, Armando Reyes Serrato3, J M Herrera-Ramirez1. 1. Centro de investigación en Materiales Avanzados (CIMAV), Laboratorio Nacional de Nanotecnología, Miguel de Cervantes 120, Complejo industrial Chihuahua, Chihuahua 31136, Mexico. 2. Toyohashi University of Technology, Department of Mechanical Engineering, 1-1 Hibarigaoka Tempaku-cho, Toyohashi, Aichi 441-8580, Japan. 3. Universidad Nacional Autónoma de México, Departamento modelación de nanomateriales, Centro de Nanociencias y Nanotecnología, Km. 107 Carretera Tijuana-Ensenada, Ensenada, Baja California 22860, Mexico.
Abstract
Pure CaMgSi was successfully synthesized by mechanical milling, followed by spark plasma sintering. Rietveld refinement was used to calculate the structural parameters, where a crystallite size (D XRD) of 79 nm was estimated. This value was confirmed by the Williamson-Hall analysis. Transmission electron microscopy was used to analyze the microstructure, revealing the presence of extensive interfaces, nanoparticles, and a high crystallinity. First-principles calculations were performed with the WIEN2k package, finding a band gap of 0.27 eV. The thermoelectric properties were determined combining experimental measurements and theoretical results from the BoltzTraP code. The highest value of the electronic figure of merit (ZT e) was 1.67 at 415 K. However, when the lattice thermal contribution (k L) is considered, the highest value of the figure of merit (ZT) was 0.144 at 644 K.
Pure CaMgSi was successfully synthesized by mechanical milling, followed by spark plasma sintering. Rietveld refinement was used to calculate the structural parameters, where a crystallite size (D XRD) of 79 nm was estimated. This value was confirmed by the Williamson-Hall analysis. Transmission electron microscopy was used to analyze the microstructure, revealing the presence of extensive interfaces, nanoparticles, and a high crystallinity. First-principles calculations were performed with the WIEN2k package, finding a band gap of 0.27 eV. The thermoelectric properties were determined combining experimental measurements and theoretical results from the BoltzTraP code. The highest value of the electronic figure of merit (ZT e) was 1.67 at 415 K. However, when the lattice thermal contribution (k L) is considered, the highest value of the figure of merit (ZT) was 0.144 at 644 K.
Thermoelectricity is the
phenomenon in which heat is directly converted
into electrical energy making use of the Seebeck effect. This makes
it possible to utilize the wasted heat from industrial processes or
transport. Thermoelectric materials can be used to form thermoelectric
generators stacking p–n semiconductors without the need of
moving parts and low maintenance is required. However, despite their
benefits, the mass application of these devices has been limited by
their low efficiency, the cost of the materials, and the toxicity
of some of their constituent elements. The conversion efficiency of
thermoelectric (TE) materials is related to a quantity called figure
of merit (ZT), which is defined in eq .where S is the Seebeck coefficient, is the electrical conductivity, is the absolute temperature, PF
is the
power factor equivalent to , is
the electrical resistivity, and is the thermal conductivity, which
have
contributions from electrons () and
the crystal lattice ). On the other hand, eq defines the electronic TE figure
of merit . Note that is always greater than because is
not considered. can be used to estimate how good a promising
candidate is for TE applications.[1] In semiconductors,
the main source of thermal conductivity is the phonon contribution
of , so it must be considered.In order to find new TE materials, two approaches have been used:
first, to explore materials with an intrinsic high ZT and second, to optimize TE properties of a known material by a physical
modification.[2,3] Kagdada et al. used the first
approach and calculated the TE properties of GeTe with the first-principles
calculation plus the BoltzTraP code, obtaining ZT = 0.7 at 1300 K, while Reyes et al. obtained ZT = 0.8 for ReCN at 1200 K.[4,5] On the other hand, using
the second approach, Haque and Rahaman explored the TE behavior of
BaGaSnH, replacing Ba by Sr using first-principles calculations and
the BoltzTraP code, predicting a ZT ∼ 1.0.[6] Hong et al. were able to maximize the ZT value of GeTe by doping with Sb and Se, reaching a value
of ZT = 2.20 at 780 K.[7] Hicks and Dresselhaus proposed increasing the ZT by preparing multilayered superlattice materials.[8] For the case of SiGe compounds, p-type and n-type and the
influence of nanostructuring over the TE properties have been reported.[9−11] Thin films made of AgPb18SbTe20 were synthesized
by molecular beam epitaxy, obtaining ZT = 2.1 at
800 K; however, this synthesis process is slow and expensive, making
it difficult to manufacture on a large scale.[12] Bi2Te3-based materials have been the most
widely studied for TE applications. Poudel et al. made nanocomposites
with the addition of Sb by mechanical milling (MM) and hot pressing
(HP), reaching a value of ZT = 1.4 at 373 K, which
is a good value for low-temperature applications, but it could still
be improved.[13] Consolidating milled powders
by the spark plasma sintering (SPS) technique has several advantages
over HP since SPS was originally designed to inhibit the grain size
and provide a better densification.[14] The
phase diagram of Ca–Mg–Si was calculated by Gröbner
et al. using the Calphad method.[15] The
potential applications of CaMgSi have motivated studies in the field
of hydrogen storage and biodegradable implants.[16−18] Besides, the
electronic structure information presented by Whalen et al. suggests
the CaMgSi compound as a possible candidate for TE applications.[16] However, obtaining a pure phase is a difficult
task by conventional synthesis methods. TE properties of Ca–Mg–Si
alloys were presented by Niwa et al., obtaining a maximum of 37% CaMgSi,
53% Mg2Si, and 10% Ca7Mg7.25Si14.[19] CaMgSi, synthesized by MM
and SPS, is a promising candidate for TE applications, and even with
several secondary phases, it obtained a value of PF = 0.42 mW m–1 K–2 at 433 K; however, thermal
conductivity and ZT were not determined.[20] Theoretical simulation using first-principles
and Boltzmann transport theory have been used to predict the ZT of CaMgSi by tuning the carrier concentration, reaching
a value of ZT = 1.75 at 800 K.[21] The present work aims to determine the structure, microstructure,
and TE properties of an experimental sample of CaMgSi compound by
combining theoretical simulation and experimental measurements.
Results and Discussion
X-ray Diffraction
Figure shows the
refined X-ray diffraction
(XRD) pattern of CaMgSi synthesized by MM and SPS, where the signals
of pure CaMgSi with the space group Pnma (PDF #43-1399)
were observed. It is worth mentioning that pure CaMgSi has not been
reported previously. In this case, this finding can be attributed
to the rotational speed of 180 rpm under the MM conditions, which
guaranteed a better homogeneity than that obtained by Miyazaki et
al., who used 125 rpm and obtained six secondary phases.[22] Obtaining pure phases makes it possible to compare
the experimental measurements with the simulation. Rietveld refinement
was performed to determine the lattice parameters (a, b, c, α, β, γ),
the crystallite size (DXRD), atomic positions
(x, y, z), occupation
factor (g), volume cell (), and density (). Table summarizes the values calculated.
Figure 1
XRD pattern
of CaMgSi synthesized by MM and SPS.
Table 1
Parameters Calculated by Rietveld,
Williamson–Hall, and TEM Analysis
a (Å)
b (Å)
c (Å)
α = β = γ (deg)
DXRD (nm)
DTEM (nm)
ε
δ (cm–2)
7.4764(18)
4.4264(12)
8.3014(2)
90.0
79.02
110
1.21 × 10–3
1.601 × 1010
XRD pattern
of CaMgSi synthesized by MM and SPS.Figure shows the
Williamson–Hall analysis, with which microstrains (ε)
and crystallite size were calculated.[23] A crystallite size of 79 nm was determined, which is practically
the same as the one found by the Rietveld refinement. The crystallite
size is small enough to contribute to the reduction of the lattice
thermal conductivity (kL) by increasing
phonon scattering and acting as a nanostructured bulk material.[13] The density of dislocations (δ) was determined
by the Williamson–Smallman relation δ = 1/D2.[24]Table presents these values.
Figure 2
Williamson–Hall
plot analysis for the CaMgSi lattice.
Williamson–Hall
plot analysis for the CaMgSi lattice.
Transmission Electron Microscopy
Figure a shows a
transmission electron microscopy (TEM) micrograph, where several grain
boundaries are observed. Figure b shows a high-resolution TEM image in which the presence
of a spherical nanoparticle is identified. A similar morphology was
reported by Minnich et al. for nanostructured TE materials.[9] The high density of interfaces and the presence
of nanoparticles reduces the thermal conductivity and increases the ZT according to eq .[12,13]Figure c shows a region with high crystallinity, where CaMgSi
exhibits an orthorhombic arrangement, which is consistent with the Pnma structure oriented in the [100] direction. Figure d presents a selected
area electron diffraction (SAED) pattern showing sharp and bright
diffraction spots, which were assigned to the well-crystallized orthorhombic
phase of CaMgSi, and a [100] zone axis was confirmed.
Figure 3
TEM images showing the
microstructure of CaMgSi: (a) micrometric
grains with clear grain boundaries, (b) high-resolution image showing
a nanoparticle, (c) high-crystallinity zone, and (d) indexed SAED
pattern with the [100] zone axis.
TEM images showing the
microstructure of CaMgSi: (a) micrometric
grains with clear grain boundaries, (b) high-resolution image showing
a nanoparticle, (c) high-crystallinity zone, and (d) indexed SAED
pattern with the [100] zone axis.
First-Principles Calculation
The
structural parameters reported in Table were used to calculate the optimization
of CaMgSi; a = 7.4460 Å, b =
4.4224 Å, c = 8.2950 Å, and a volumetric
reduction of 0.29% were obtained. Figure a shows the calculated density of states
(DOS) determined by the WIEN2k package using the Tran–Blaha
modified Becke Johnson (TB-mBJ) potential for the exchange–correlation,
obtaining a band gap value of 0.27 eV. It is well documented that
using the TB-mBJ improves the band gap calculation of different semiconductors
compared to other approximations such as local density approximation
and general gradient approximation (GGA) that usually underestimate
the band gap.[25]Figure b shows a strong hybridization between Ca
d–Si p and Mg p–Si d, which is consistent with results
previously reported using different potentials.[20,21]Figure shows the
calculated band structure with TB-mBJ that confirms a direct band
gap in the gamma direction. Miyasaki et al. used the WIEN2k package
and a GGA, reporting a band gap of 0 eV. Besides, they determined
a narrow band gap of 0.26 eV by photoemission spectrum, which showed
a clear inconsistency between the first-principles calculations and
the experimental results.[22] Yang et al.
calculated the electronic properties using the Vienna ab initio simulation
package (VASP) applying the hybrid functional Heyd–Scuseria–Ernzerhof
(HSE06), obtaining a direct band gap of 0.29 eV.[21]
Figure 4
DOS of CaMgSi calculated using WIEN2k with TB-mBJ (a) total and
(b) partial.
Figure 5
Calculated band structure of CaMgSi using WIEN2k
with the TB-mBJ
potential.
DOS of CaMgSi calculated using WIEN2k with TB-mBJ (a) total and
(b) partial.Calculated band structure of CaMgSi using WIEN2k
with the TB-mBJ
potential.
TE Properties
TE properties were
calculated by BoltzTraP once the theoretical band gap matched with
the experimental values.[26]Figure shows the simulated value
of S as a function of μ at different temperatures
(300–800 K) for the CaMgSi compound. In the case of the p-type
doping, the maximum S value was 286 μV at 0.3691
Ry, while in n-type doping, it was −372 μV at 0.3759
Ry for a fixed temperature of 300 K. Besides, the transition from
p-type to n-type was observed at a μ of 0.3724 Ry. Most of the
theoretical reports of TE materials such as PbSe, SnSe, GeSe, and
hybrid perovskites CH3CH2NH3GeI3 use the μ that describes the best properties.[27,28]
Figure 6
Seebeck
coefficient (S) of CaMgSi as a function
of the chemical potential (μ) at different temperatures.
Seebeck
coefficient (S) of CaMgSi as a function
of the chemical potential (μ) at different temperatures.In our case, the μ determined is the one
that best describes
the S experimental value (SExp) since it will represent the TE properties on the synthesized
CaMgSi. Figure shows
the Seebeck values as a function of the temperature. The red line
represents the SExp obtained from ZEM-1,
while the other lines represent the three closest theoretical Seebeck
(ST) values obtained at a fixed μ.
A python code was developed to make a semiempirical adjustment by
the least squares method, in which the ST, SExp, theoretical slope, and experimental
slope at fixed μ were considered. The ST value at a μ of 0.3635 Ry is the one that best describes
the SExp (blue line). This fitting method
to find a μ that describes the experimental values has been
used by Hayashi et al. for single-wall carbon nanotubes.[29] This semi-empirical method has been previously
described by Prashun et al.[1]
Figure 7
Semi-empirical
adjustment from the Seebeck coefficient of CaMgSi
to determine the chemical potential.
Semi-empirical
adjustment from the Seebeck coefficient of CaMgSi
to determine the chemical potential.Figure a shows
the simulated properties σ/τ, and Figure b shows ke/τ
as a function of the temperature for the determined μ = 0.3635
Ry. An increase is observed in both properties as the temperature
increases.
Figure 8
Obtained conductivities of CaMgSi: (a) electrical conductivity
σ/τ and (b) thermal conductivity ke/τ.
Obtained conductivities of CaMgSi: (a) electrical conductivity
σ/τ and (b) thermal conductivity ke/τ.Figure a shows
the experimental conductivity (σExp), and Figure b shows the relaxation
time (τ) as a function of the temperature, which were determined
by τ = σExp/(σ/τ). As can be seen,
τ decreases as the temperature increases until stabilizing at
a value of 0.44 × 10–14 s. The determination
of the relaxation time using this methodology has been reported by
Kumar et al.[30]
Figure 9
(a) Experimental electrical
conductivity σExp of
CaMgSi and (b) relaxation time τ obtained from the experimental
and theoretical electrical conductivities.
(a) Experimental electrical
conductivity σExp of
CaMgSi and (b) relaxation time τ obtained from the experimental
and theoretical electrical conductivities.In order to determine the nature of the lattice thermal conductivity,
the phonon band structure and phonon DOS were determined (Figure ). It can be noted
that all bands start above 0 THz, showing dynamical stability. The
CaMgSi unit cell contains 12 atoms, which generate 3 acoustic branches
(TA1, TA2, and LA) and 33 optical branches in the first Brillouin
zone. The low values of the acoustic branches (0–2.5 THz) suggest
a low kL. The Ph DOS shows that the vibration
modes of Mg and Si are strongly coupled due to their similar mass.
The high optical frequency modes are precented above 8 THz produced
mainly by Mg and Si. The phonon properties of CaMgSi synthesized in
this work are consistent with those reported by Yang et al.[21]
Figure 10
Calculated phonon band structure and phonon DOS of CaMgSi.
Calculated phonon band structure and phonon DOS of CaMgSi.Figure a shows
the Grüneisen parameter (γ) of CaMgSi as a function of
the frequency, which represents the degree of anharmonicity.[31] The acoustic phonon modes (0–2.5 THz)
provide γ values of −1.2 to 4.2. Figure b shows the lifetime of CaMgSi obtaining
a value of 16.8 ps at acoustic branches. Li et al. reported similar
values of the Grüneisen parameter and lifetime for BaMgSi,
Ba2Mg3Si4, and BaMg2Si2, identifying that they can be designed as low-thermal-conductivity
materials.[32]
Figure 11
(a) Grüneisen
parameter and (b) lifetime of CaMgSi.
(a) Grüneisen
parameter and (b) lifetime of CaMgSi.Figure a shows
the electronic contribution to the thermal conductivity ke, which was determined with the BoltzTraP package at
a chemical potential of μ = 0.3635 Ry and by taking the obtained
relaxation time. Figure b shows the lattice contribution to the thermal conductivity kL, which was obtained combining density functional
theory (DFT) calculations implemented in the VASP and phono3py.[33−35]Figure proves
that kL is several times bigger than ke; thus, kL must
be reduced to increase ZT. It is important to consider
the influence of the density of dislocations δ in Table because it can reduce kL reported in Figure b through phonon scattering.[36,37]
Figure 12
Thermal conductivities of CaMgSi due to (a) electrons obtained
from relaxation time and BolzTraP and (b) lattice obtained from phono3py.
Thermal conductivities of CaMgSi due to (a) electrons obtained
from relaxation time and BolzTraP and (b) lattice obtained from phono3py.Figure a shows
the ZTe value as a function of the temperature,
reaching a maximum value of ZTe = 1.67
at 415 K. Figure b shows the ZT value considering the effect of kL, for which the values are lower than for ZTe, but reaching a maximum value of ZT = 0.144 at 644 K. Table shows a summary of the TE properties obtained in this
work. The biggest difference between the values presented in Table and those simulated
(ZT = 1.78 at 800 K) can be mainly attributed to
the fact that the experimental electrical conductivity σExp is several times lower than the one predicted by Yang et
al.[21] The presented information suggests
that increasing σ will lead to bigger ZT values,
which can be achieved by doping the CaMgSi compound.
Figure 13
ZT of
CaMgSi as a function of the temperature:
(a) electronic contribution ZTe and (b)
total ZT.
Table 2
TE Properties of CaMgSi for Different
Temperatures
T (K)
S (μV/K)
σ × 104 (1/Ω m)
PF × 10–4 (W/m K2)
τ × 10–15 (s)
ke (W/m K)
kL (W/m K)
ZTe
ZT
300
168.4766
1.8675
5.2647
15.172
0.1198
3.2906
1.3180
0.0477
400
199.1247
1.5012
5.9531
9.9693
0.1431
2.4931
1.6642
0.0905
500
210.0595
1.1999
5.2632
6.3841
0.1772
1.9933
1.4913
0.1215
600
200.9097
1.1294
4.5579
4.8591
0.2657
1.6606
1.0289
0.1418
700
171.3055
1.2573
3.6840
4.3655
0.4505
1.4232
0.5733
0.1382
800
120.8761
1.4836
2.1649
4.1702
0.7503
1.2452
0.2308
0.0855
ZT of
CaMgSi as a function of the temperature:
(a) electronic contribution ZTe and (b)
total ZT.
Conclusions
In the
presented work, pure CaMgSi was successfully synthesized
using MM followed by SPS, obtaining a crystallite size of 79 nm. The
morphology reported confirms the formation of a nanostructured bulk
material with a high crystallinity. Through first-principles calculations,
a band gap of 0.27 eV was obtained, which is very close to the experimental
value of 0.26 eV. The thermal conductivity and relaxation time were
obtained combining BoltzTraP results with experimental measurements,
making it possible to determine the figure of merit, with a maximum
value of ZTe = 1.67 at 415 K. When kL was included, a maximum value of ZT = 0.144 at 644 K was obtained. However, the experimental electrical
conductivity σExp obtained is several times lower
than the one previously simulated, the increment of σExp being the key factor to reach bigger values of ZT.
Experimental Conditions and Computational Methods
Experimental Procedure
CaH2 (Sigma-Aldrich
99%, <200 μm), Mg (Mitsuwa chemicals 99.9%,
<150 μm), and Si (Kojundo Chemicals, 99.9%, <5 μm)
were used to synthesize the CaMgSi compound. Initially, 100 g of precursor
powders was weighed in a stoichiometric ratio into a glovebox under
an Ar atmosphere. Then, the powders were mechanically milled under
an Ar atmosphere using a planetary ball mill (Pulverisette 5); a 500
cm3 bowl (SUS304 stainless steel) and 100 bearing balls
(SUJ2 bearing steel, 10 mm) were used. The ball-to-powder weight ratio
was 4:1, the rotational speed of the main disk was 180 rpm, and the
powders were milled for 20 h to obtain a better homogeneity. The milled
powders (5 g) were put into a graphite die with an inner diameter
of 25 mm and a thickness of 4 mm. Subsequently, an SPS machine (Dr.
Sinter SPS, Sumitomo Coal Mining) was utilized under an Ar atmosphere
and a constant pressure of 50 MPa. The SPS conditions used in this
case were taken from Miyazaki et al.[20] Thus,
the milled powders were sintered at 1273 K for 20 min with a heating
ramp of 97.5 K/min (dehydrogenation of CaH2 and formation
of CaMgSi). Then, a controlled cooling was carried out with a ramp
of 33.3 K/min up to a temperature of 773 K. Later, a natural cooling
up to room temperature was done.
Characterization
Powder XRD patterns
of CaMgSi powders were acquired with a PANalytical X’Pert Pro
diffractometer equipped with a monochromator and a radiation source
of Cu Kα1 (λ1 = 1.54056 Å) operating at
40 kV/30 mA. Diffraction patterns were acquired in the 2θ range
of 25–80° with a step size of 0.02°. Rietveld refinement
was performed using FullProf software, and the crystal structure was
generated with the VESTA software.[38−40] TEM micrographs were
obtained with a JEOL JEM2200FS +CS microscope at an accelerating voltage
of 200 kV. The Miller indices’ identification on the SAED patterns
was made with the Crystallographic Tool Box (CrysTBox) software using
the z.[41] The experimental TE measurements
were taken with a ZEM-1 Ulvac Sinku-Riko equipment.
Computational Details
The first-principles
calculations were done with the WIEN2k package, which allows us to
perform electronic structure calculations using the DFT. It is based
on the full-potential linearized augmented plane wave method for solving
Kohn–Sham equations.[42] The exchange–correlation
energy was treated with the TB-mBJ potential.[25] The separation energy between the core and the valence state was
set to −6.0 Ry. Our calculations were carried out in the Brillouin
zone with a 13 × 23 × 12 uniform k-point
mesh and a convergence criterion of 10–4 Ry. The
TE properties were calculated using the BoltzTraP code, which uses
the approach called constant relaxation time approximation, which
combines the electronic structure calculation and Boltzmann statistics.
The obtained results were S, σ/τ, and k/τ, where the electrical and thermal conductivities
are a function of the relaxation time τ.[26] A python script was developed to determine which simulated
Seebeck values at fixed chemical potential best describe the experimental
Seebeck (SExp) measurements using the
least-squares method. The phonon band structure and phonon DOS were
obtained using VASP and the density functional perturbation theory
implemented in phonopy with a 2 × 3 × 2 supercell.[33,43] The phonon lifetime, Grüneisen parameters, and lattice thermal
conductivity were obtained combining VASP and phono3py.[33,35] The VASP parameters are kinetic energy cutoff of 500 eV, a Monkhorst–Pack
scheme in the Brillouin zone with 2 × 2 × 2 uniform k-point mesh, and the convergence energy threshold of 10–8 eV. The interatomic force constants in phono3py were
determined using various positions of the atoms in a supercell made
of 2 × 2 × 2 primitive cells.
Authors: Giri Joshi; Hohyun Lee; Yucheng Lan; Xiaowei Wang; Gaohua Zhu; Dezhi Wang; Ryan W Gould; Diana C Cuff; Ming Y Tang; Mildred S Dresselhaus; Gang Chen; Zhifeng Ren Journal: Nano Lett Date: 2008-12 Impact factor: 11.189
Authors: Peter Blaha; Karlheinz Schwarz; Fabien Tran; Robert Laskowski; Georg K H Madsen; Laurence D Marks Journal: J Chem Phys Date: 2020-02-21 Impact factor: 3.488