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Contrasting Thermoelectric Transport Behaviors of p-Type PbS Caused by Doping Alkali Metals (Li and Na)
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Zhenghao Hou1, Dongyang Wang1, Jinfeng Wang2, Guangtao Wang2, Zhiwei Huang1, Li-Dong Zhao1
Research. Vol 2020 Article ID 4084532
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Research. Vol 2020 Article ID 4084532
• Research Article •
Contrasting Thermoelectric Transport Behaviors of p-Type PbS Caused by Doping Alkali Metals (Li and Na)
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Zhenghao Hou1, Dongyang Wang1, Jinfeng Wang2, Guangtao Wang2, Zhiwei Huang1, Li-Dong Zhao1
Affiliations
  • 1School of Materials Science and Engineering, Beihang University, Beijing 100191, China
  • 2School of Physics, Henan Normal University, Xinxiang 453007, China
Published: 2020-12-20 doi: 10.34133/2020/4084532
Outline
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PbS is a latent substitute of PbTe thermoelectric materials, which is on account of its superiority in low cost and earth abundance. Here, the thermoelectric transport properties of p-type PbS by doping alkali metals (Na and Li) are investigated and it is verified that Li is a more effective dopant than Na. By introducing Li, the electrical and thermal transport properties were optimized collectively. The electrical transport properties were boosted remarkably via adjusting carrier concentration, and the maximum power factor (PFmax) of ~11.5  μW/cmK2 and average power factor (PFave) ~9.9  μW/cmK2 between 423 and 730 K in Pb0.99Li0.01S were achieved, which are much higher than those (~9.5 and ~7.7  μW/cmK2) of Pb0.99Na0.01S. Doping Li and Na can weaken the lattice thermal conductivity effectively. Combining the enlarged PF with suppressed total thermal conductivity, a maximum ZT ~0.5 at 730 K and a large average ZT ~0.4 at 423-730 K were obtained in p-type Pb0.99Li0.01S, which are higher than ~0.4 and ~0.3 in p-type Pb0.99Na0.01S, respectively.

Zhenghao Hou, Dongyang Wang, Jinfeng Wang, Guangtao Wang, Zhiwei Huang, Li-Dong Zhao. Contrasting Thermoelectric Transport Behaviors of p-Type PbS Caused by Doping Alkali Metals (Li and Na)[J]. Research, 2020 , 2020 (12) : 4084532 - . DOI: 10.34133/2020/4084532
The search for reliable and environmentally friendly new energy has attracted worldwide attention because of the shortage of fossil energy. A thermoelectric device is capable of transforming heat into electric energy immediately, which has shown great prospect in clean energy field [1–5]. The thermoelectric device efficiency is positively associated with the dimensionless figure of merit [6–9], ZT=S2σT/κtot, where T represents absolute temperature, S expresses the Seebeck coefficient, σ denotes electrical conductivity, and κtot represents total thermal conductivity comprising electronic (κele) and lattice (κlat) contributions [2, 10, 11].
Lead telluride- (PbTe-) based materials, as a kind of medium-temperature operating materials, have attracted extensive research interests on account of outstanding thermoelectric performance [12–14]. However, considering the high costs and low earth abundance of the Te element, the thermoelectric materials with rich resources should be developed. To date, one research hotpot in this field is to find an alternative material to substitute PbTe which possesses prominent thermoelectric properties [14–16]. As a similar alternative of PbTe, PbS possesses a NaCl structure and an alike band structure. Nevertheless, the poor electrical properties and large lattice thermal conductivity historically make PbS become an inferior thermoelectric material [11]. Aimed at solving the shortcomings of PbS, the approaches including carrier concentration optimization [17], band manipulation [18], and microstructure engineering [19–22] have been proved as effective strategies to manipulate electrical properties and thermal conductivity; the achievements realized through the above strategies well elucidate the potential performance of PbS.
Usually, doping is a powerful tactic to enhance ZT. Doping is essential in adjusting carrier concentration, and it is the prerequisite to gain a high ZT as all of those thermoelectric properties are interlinked by carrier concentration. On the assumption that the scattering or band structure is not modified obviously by a dopant, the Seebeck coefficient and electrical conductivity of degenerated semiconductor with a single parabolic band can be given using Equations (1) and (2) [23, 24].
(1) S=8π2kB23eh2m∗Tπ3n2/3,(2)σ=neμn,
where kB displays the Boltzmann constant, e shows the electron charge, h denotes the Planck constant, m∗ expresses effective mass, n is the carrier concentration, and μn represents the carrier mobility. Apparently, S and σ are in an inversely proportional relationship. Therefore, adjusting carrier concentration through balancing the relationship between S and σ is an important method to boost power factors. Doping with different elements may induce diverse impact on carrier concentration optimization and band structure manipulation. For example, p-type Na-doped PbS with CdS as second phases attains a large ZT ~1.3 at 923 K owing to extensive phonon scattering by nanophase precipitates and better electrical transport [25]; the ZT of p-type Tl-doped PbTe reaches ~1.5 at 773 K due to greatly enhanced Seebeck coefficients by deformation of electronic density of states [17]. It is meaningful to speculate the impacts by doping other alkali metals on thermoelectric performance in PbS.
In this article, we focused on PbS, which contains highly earth-abundant elements and owns higher melting point compared to PbTe. The thermoelectric properties in PbS doped by Li and Na were investigated systematically. The consequences reveal that the electrical and thermal properties were optimized synchronously through alkali metal doping. The electrical properties were improved through adjusting carrier concentration, and the PFmax of Pb0.99Li0.01S reached ~11.5  μW/cmK2, which is far greater than ~9.5  μW/cmK2 in Pb0.99Na0.01S. Both Li and Na can bring down the κlat because of point defects in PbS matrix. Li was more effective than Na in reducing κlat on account of larger mass and strain field fluctuations. Integrating enhanced PF and reduced κtot, a higher ZT value ~0.5 at 730 K and average ZT ~0.4 at 423-730 K can be reached in Pb0.99Li0.01S, which are higher than ~0.4 and~0.3 in p-type Pb0.99Na0.01S, respectively, indicating that Li doping can improve thermoelectric performance of PbS more effectively than Na doping.
High-purity chemicals of Pb particle (99.99%), S (99.99%), Na (99.99%), and Li (99.99%) were weighed and loaded into carbon-coated quartz ampules under a N2-filled glove box. The ampules of the chemicals were evacuated under vacuum and flame-sealed. The pure chemicals were gradually warmed up to 723 K in 12 h, elevated to 1423 K in 7 h before keeping stable at 1423 K for 6 h, and finally naturally cooled to indoor temperature. The prepared specimens were pulverized and filtered with 400-mesh sieves for sintering through spark plasma sintering (SPS-211LX) using a pressure of 50 MPa at 923 K for 10 min.
The acquired cylinder bulk materials were incised for measuring relevant thermoelectric properties. The CTA system was applied to measure electrical parameters (S and σ) at 300-730 K under He gas, and the samples were polished in a rectangular shape of 10 mm×3 mm×3 mm. The surfaces of measured samples were sprayed with thin-layer BN, which can inhibit volatilization and protect instrument [26]. The cylindrical disks with thickness of 1 mm and diameter of 6 mm were used to measure the thermal diffusivity (D). The thermal conductivity is computed through κtot=DCpρ, and the thermal diffusivity was characterized using a Netzsch LFA457 instrument with a laser flash method [27]. A thin graphite film on the surface of samples was utilized to cut down errors of emissivity for testing D. The density (ρ) was obtained based on mass and volume. All the densities of samples are around 7.2 g/cm3. The heat capacity (Cp) was computed using the Debye model [28].
The phase structure was investigated using an X-ray diffraction technique with D/MAX2200pc system with CuKα at 2θ=20–80° (Rigaku, Japan, 40 kV, 40 mA). The scanning speed and step size of the XRD measurement are 6° min-1 and 0.02°, respectively.
The density functional theory (DFT) calculations were acquired through a projector-augmented wave (PAW) strategy [29, 30] with the Vienna Ab initio Simulation Package (VASP) [31]. The Perdew-Burke-Ernzerhof (PBE) exchange-correlation functional was used to model crystal and electronic structure. The used kinetic cutoff energy of plane waves is 500 eV. A 3×3×3 supercell (Pb27S27) was constructed to evaluate the defect formation energy of Li- (Pb26LiS27) and Na- (Pb26NaS27) doped systems. The internal coordinates of all atoms are entirely relaxed while the maximum residual ionic force is lower than 0.01 eV Å-1, and the total energy difference approaches 10-6 eV.
The formation energy of the defect Q (Q=Na, Li) in charge q is calculated by [32, 33]
(3)∆HfPbS,Qq=EPbS,Qq−EPbS+∑iniEi+μi+qEF+EV+∆V,
where EPbS,Qq and EPbS refer to the total energy of defect α contained and undoped PbS in supercells with the same dimension, separately. μi, Ei, and ni are the chemical potential, average energy of element in its most stable crystal structure, and the number of the atom i added to (ni<0) or taken from (ni>0) the host, respectively. EF presents the Fermi level relative to energy location of valence band maximum (Ev), which changes between 0 and band gap in PbS. The correction term ΔV is adopted to arrange the reference potential between the defect-containing and pure supercells with the same size [34]. All characteristic values are recombined to the 1s core level of the atom farthest from the defect [32, 35].
The formation energy depends on the chemical potential of each element, which is related to the off-stoichiometric degree (Pb- or S-rich condition). The different off-stoichiometric degrees will result in different chemical potential and formation energy. The upper and lower boundary chemical potential (μi) is determined by the off-stoichiometric degree and the stability against precipitation of elemental Pb, S, Li, and Na:
(4)μPb,μS,μLi,μNa≤0.
The host compounds are obtained from the sum of the chemical potentials of Pb and S:
(5)μPb+μS=∆HfPbS,
where ΔHfPbS is the formation energy of PbS in a rock-salt structure.
The second phase of Na2S, Li2S, and PbS2 should be avoided, and the corresponding formation energy should be larger than the sum of elemental chemical potential:
(6)2μNa+μS<∆HfNa2S,2μLi+μS<∆HfLi2S,μPb+2μS<∆HfPbS2.
Figure 1 demonstrates the detailed information of XRD results. All specimens possess a single phase of cubic PbS. The data peak transfers to low angle range as the Li and Na content was added, which indicates that Li and Na are doped into PbS lattice.
Figure 2 depicts electrical properties in PbS with Li and Na doping. It can be clearly observed from Figures 2(a) and 2(b) that the σ falls off when temperature rises, except for low doping samples of Pb1-xNaxS (x=0.005 and 0.0075).
For Li-doped samples, the σ possesses a tendency to increase first and then decrease with the stoichiometry of Li increasing and reaches to its maximum 777 S/cm in Pb0.995Li0.005S, as shown in Figure 2(a). However, the Na doping presents different results. As presented in Figure 2(b), the σ has an increased trend with increasing of Na content, and the maximum σ of 1274 S/cm can be realized in Pb0.98Na0.02S. The σ is positively correlated with nH and μn from Equation (2), which are determined by the solid solubility and the different scattering mechanisms, respectively. The continued increase in σ of Pb1-xNaxS is mainly due to the fact that the higher solubility of Na than Li was caused by better ion radius matching (rLi+=0.76 Å, rNa+=1.02 Å, rPb2+=1.26 Å).
As displayed in Figures 2(c) and 2(d), different from the undoped PbS, the Seebeck coefficients (S) for all doped samples are positive, indicating that Li and Na are effective p-type dopants in PbS. For Li-doped samples, the S present the trend of first decreasing and then increasing with an increasing Li content. For Na-doped samples, the trend is reversed that the S increase first and then decrease with an increasing Na content. These diametrically opposite trends reflect the contrary change of carrier concentration (nH) in those materials since the S are negatively correlated with nH.
To evaluate the doping efficiency of Li and Na in PbS, the formation energy of potential defect was calculated and shown in Figures 3(a) and 3(b). The lower formation energy of NaPb indicates the spontaneous formation of NaPb in any conditions, which is even lower than that in VPb. However, the LiPb has higher formation energy under Pb- and S- rich situations. In an equilibrium theory, the defect concentration can be evaluated by the formation energy ΔH, expressed as ni=Ni×e−∆H/kT [36]. Thus, the larger formation energy of Li leads to a lower nH and a larger S (Figure 2(c)).
As presented in Figure 2(e), for Li-doped samples, a higher PF can be obtained in Pb0.99Li0.01S in a broad temperature range, and the peak value can reach 11.5  μW/cmK2 at 450 K. The peak PF for Pb0.99Li0.01S is much higher than Pb0.99Na0.01S which is ascribed to the lower nH, namely, adjusting carrier concentration to an optimized scope. Figures 3(c) and 3(d) show the carrier mobility and carrier concentration at room temperature which are calculated by the carrier effective mass of PbS (m∗=0.38 m0) [25]. According to Rowe and Bhandari’s study [37], the S decreases and the σ increases as the nH increases and the PF maximizes at a suitable nH for a semiconductor. Therefore, adjusting the nH to a reasonable range is the key factor to obtain higher PF. Compared with Pb0.99Na0.01S, Li doping leads to a relative lower nH and higher PF. Figures 2(g) and 2(h) show the maximum power factor (PFmax) at 300-730 K and average power factor (PFave) within 423-730 K of p-type PbS samples. The PFave is calculated by Equation (7) in which the Th and Tc are the temperatures of hot and cold ends. The PFave represents the overall capacity and level of electrical transports over a specified wide temperature range. The PFmax and PFave of the Pb0.99Li0.01S sample are 11.5 and 9.9  μW/cmK2, respectively, higher than those of Pb0.99Na0.01S which are 9.5 and 7.7  μW/cmK2. The present results reveal that the different dopants can reach the PFmax under their proper nH, which is strictly determined by the solid solubility of dopants in PbS.
(7)PFave=1Th−Tc∫TcThPFdT.
Figures 4(a) and 4(b) depict the κtot which decreases monotonically with the increase of temperature. The κtot of Pb1-xLixS is lower than that in the undoped PbS, which is different from the larger content of Pb1-xNaxS since σ is higher. The Cp of Pb0.99Li0.01S and Pb0.99Na0.01S is 0.2094 J/g·K and 0.2092 J/g·K at 730 K, respectively. The Cp of Li-doped samples is similar to the Cp of Na-doped samples at the same content and temperature. The κtot includes lattice thermal conductivity and electronic thermal conductivity (κtot=κlat+κele) [22, 25], where the relationship between κele, σ, and Lorenz number (L) described in Equation (8) indicates that the κele is proportional to σ [38, 39].
(8)κele=LσT.
The Lorenz number was obtained through calculating the Seebeck coefficient and integral chemical potentials [40]. Figures 4(c) and 4(d) show the Lorenz number in all samples as function of temperature. Higher L and σ lead to the larger κele than those in undoped PbS, as revealed through Figures 4(e) and 4(f). Thus, the reduction in κtot is primarily caused by the decrease of κlat.
Figures 5(a) and 5(b) show that the κlat of all doped samples is lower than that of the undoped sample. The point defect scattering presumably reduces the κlat by Li and Na doping. Obviously, the κlat decreases with the increasing dopant content. More importantly, Li and Na are both effective in reducing the κlat. To understand the phonon transports in Li- (Na) doped PbS, we adopted the Callaway model to evaluate point defect scattering caused by Li and Na doping [28, 41, 42].
When the temperature is higher than the Debye temperature, the point defect is an intensive scattering center to reduce the κlat. According to the Callaway model [28, 42, 43], the ratio of the κlat between the defect-containing material and host material can be written as
(9)κlatκlat,p=tan−1uu,
in which κlat and κlat,p represent the lattice thermal conductivities in doped and parent materials, separately. The parameter u is described using
(10)u=π2θDΩhva2KL,pΓ1/2,
in which h, Ω, va, and θD express the Planck constant, average atom volume, average sound velocity, and Debye temperature, separately. The imperfection scaling parameter (Γ) indicates that the phonon scattering intensity by atomic scale defects contains mass fluctuation ΓM and strain field fluctuation ΓS. The phenomenological adjustable parameter (ε) regulates the uncertainty of ΓS. The imperfection scaling parameter Γ and the phenomenological adjustable parameter ε are expressed by the following equations [42]:
(11)Γ=ΓM+εΓS,ε=296.4×γ1+νp1−νp2,
where νp displays the Poisson ratio, which is calculated using the longitudinal (νl) and transverse (νs) acoustic velocities. The acoustic velocity of PbS was adopted in Poisson ratio and Grüneisen parameter (γ) calculation by the following equations:
(12)νp=1−2νs/νl22−2νs/νl2,γ=231+νp2−3νp.
When Pb sites are replaced by Li (Na), no change happens on the position of S, ΓS=0, which is defined by [44, 45]
(13)ΓPb1−xQxS=12MPb,QM¯2ΓPb,Q,ΓPb,Q=ΓM,Pb,Q+εΓS,Pb,Q,ΓM,Pb,Q=x1−x∆MMPb,Q2,
where ∆M=MPb−MQ, and MPb,Q=1−xMPb+xMQ.
(14)ΓS,Pb,Q=x1−x∆rrPb,Q2,
where ∆r=rPb−rQ, and rPb,Q=1−xrPb+xrQ.
Then,
(15)ΓPb1−xQxS=12MPb,QM¯2x1−x∆MMPb,Q2+ε∆rrPb,Q2.
The calculated mass fluctuations ΓM,Pb,Q and strain field fluctuations ΓS,Pb,Q have been given by Table 1. The higher deviations in atomic radius and mass between Pb and Li lead to larger Γ(Pb,Li) than ΓPb,Na, indicating more effective decreasing of κlat by Li doping. In Figures 5(c) and 5(d), the calculated results based on the Callaway model exhibit the same trend with the experimental data. The huge deviation may result from the formation of nanostructure even though in moderate doping concentration. This phenomenon confirms that Li and Na could both play effective roles in suppressing κlat.
The temperature-dependent ZT of PbS doped by Li and Na are presented in Figures 6(a) and 6(b). Pb1-xLixS samples exhibit larger ZT than Pb1-xNaxS samples. The maximum ZT (ZTmax) in Pb0.99Li0.01S attained ~0.5 when T=730 K, which is higher than that in Pb0.99Na0.01S. The better thermoelectric performance of Li-doped samples is mainly due to the higher PF which results from the obtained proper nH range and the slightly lower κtot from a more effective point defect scattering.
The variation trends of maximum ZT (ZTmax) and average ZT (ZTave), calculated by Equation (16), are consistent with PFmax and PFave, as displayed in Figures 6(c) and 6(d). The ZTmax from room temperature to 730 K and ZTave within 423-730 K are 0.5 and 0.4 in Pb0.99Li0.01S, which is much higher than Pb0.99Na0.01S (0.4 and 0.3). The quality factor B is a parameter for estimating the optimal thermoelectric properties of a specific material according to the effective mass model, and the quality factor B is obtained by Equation (16). The weighted mobility μw is calculated by the electrical conductivity and Seebeck coefficient according to Equation (17) [46, 47].
(16)B=9μWκlatT3005/2,(17)μW=3σ8πeF0ηh22mekBT3/2,
in which me and e are unit mass of free electron and the electron charge, respectively. Fnη represents the Fermi integral with n=0 and is calculated by the following equations.
(18)Fnη=∫0∞xn1+ex−ηdx,S=±kBer+5/2Fr+3/2ηr+3/2Fr+1/2η−η,
in which r shows the scattering factor and equals -1/2 here and η is the reduced chemical potential [46].
The calculated quality factors of Pb0.99Li0.01S and Pb0.99Na0.01S at 730 K are 0.4 and 0.2, respectively. The quality factor of Pb0.99Li0.01S is about twice higher than that of Pb0.99Na0.01S, so the ZT of Pb0.99Li0.01S is higher, which is caused by the enhanced PF by adjusting nH in a reasonable range. The thermoelectric conversion efficiencies are calculated by Equation (20) [28]:
(19)ZTave=1Th−Tc∫TCThZTdT,(20)η=Th−TcTh1+ZTave−11+ZTave+Tc/Th,
in which Th and Tc represent the temperature in hot and cold end, respectively. The maximum calculated thermoelectric conversion efficiency based on single leg is ~4.8% in Pb0.99Li0.01S which is higher than Pb0.99Na0.01S (~3.4%) when Th=730 K and Tc=423 K, indicating Li is a valid dopant to regulate the thermoelectric performance through tuning nH.
This work indicates that Li doping is more effective than Na doping in thermoelectric performance optimization in PbS. The boosted thermoelectric performance of Li-doped PbS is completed by enhancing the PF through regulating nH in a reasonable range. The PFmax and PFave between 423 and 730 K of Pb0.99Li0.01S reached ~11.5 and~9.9  μW/cmK2, which are much better compared with ~9.5 and ~7.7  μW/cmK2 of Pb0.99Na0.01S. Pb1-xLixS samples possess slightly smaller κlat than that of Pb1-xNaxS because of larger mass and strain field fluctuations. At last, higher ZTmax ~0.5 at 730 K and ZTave ~0.4 at 423 K-730 K can be obtained in Pb0.99Li0.01S. The calculated thermoelectric conversion efficiency ~4.8% is achieved in Pb0.99Li0.01S with Th=730 K and Tc=423 K. In the future, the ZT for Li-doped PbS can also be raised through nanostructuring, manipulating band structures, and other approaches.
  • China Postdoctoral Science Foundation(2019M650429)
  • Henan Normal University
  • Beihang University
  • National Postdoctoral Program for Innovative Talents(BX20200028)
  • Academic Excellence Foundation of BUAA for PhD Students
  • National Science Fund for Distinguished Young Scholars(51925101)
  • 111 Project(B17002)
  • Beijing Municipal Natural Science Foundation(JQ18004)
  • National Key Research and Development Program of China(2018YFB0703600; 2018YFA0702100)
  • National Natural Science Foundation of China(51671015; 51772012)
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Year 2020 volume 2020 Issue 12
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Article Info
doi: 10.34133/2020/4084532
  • Receive Date:2020-09-26
  • Online Date:2026-10-27
  • Published:2020-12-20
Article Data
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History
  • Received:2020-09-26
  • Accepted:2020-10-25
Funding
China Postdoctoral Science Foundation(2019M650429)
Henan Normal University
Beihang University
National Postdoctoral Program for Innovative Talents(BX20200028)
Academic Excellence Foundation of BUAA for PhD Students
National Science Fund for Distinguished Young Scholars(51925101)
111 Project(B17002)
Beijing Municipal Natural Science Foundation(JQ18004)
National Key Research and Development Program of China(2018YFB0703600; 2018YFA0702100)
National Natural Science Foundation of China(51671015; 51772012)
Affiliations
    1School of Materials Science and Engineering, Beihang University, Beijing 100191, China
    2School of Physics, Henan Normal University, Xinxiang 453007, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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