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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY · 2024 · IF 8.1

Cu doping enhanced the performance of BaFe0.8Zr0.1Y0.1O3-δ cathode for a proton-conducting solid oxide fuel cell at low temperature

Keyao Wang,Yinghui Cui,Jiupai Ni,Chengsheng Ni

BaFe 0.8-x Cu x Zr 0.1 Y 0.1 O 3-δ (0 ≤ x ≤ 0.15) perovskite was investigated as the cathode material for low-temperature proton-conducting solid oxide fuel cells (H-SOFCs). Cu doping in BaFe 0.8 Zr 0.1 Y 0.1 O 3-δ (Cu0) improves the proton conductivity and surface exchange kinetics. The chemical bulk diffusion coefficient ( D chem ) and the chemical oxygen surface exchange coefficient ( K chem ) of BaFe 0.75 Cu 0.05 Y 0.1 Zr 0.1 O 3-δ (Cu5) and BaFe 0.7 Cu 0.1 Y 0.1 Zr 0.1 O 3-δ (Cu10) were both increased compared to Cu0. Thermogravimetric analysis (TGA) of Cu5 and Cu10 in air showed larger revsivle oxygen loss than that of Cu0. A significant improvement in current output was observed at 600 °C: cell with BaFe 0.65 Cu 0.15 Y 0.1 Zr 0.1 O 3-δ (Cu15), Cu10 and Cu5 cathode demonstrated current densities 100.7 %, 438.4 %, and 253.8 % higher, respectively, than the one with Cu0 at 0.6 V after more than 100 h of durability. This work demonstrated that the optimal Cu doping on ferrite cathode could improve the proton transport kinetics and is able to deliver a improved performance and stability for low-temperature (≤600 °C) H-SOFCs.

CAS / MDL: 12047-27-7 7782-61-8
研究领域: 材料科学 · 能源 · 电化学 · 燃料电池
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JOURNAL OF POWER SOURCES · 2020 · IF 8.247

Improved activity of oxygen in Ni–Ce0.8Sm0.2O2-δ anode for solid oxide fuel cell with Pr doping

Zhiyong Huang,Lijun Fan,Nianjun Hou,Tian Gan,Juanjuan Gan,Yicheng Zhao,Yongdan Li

Ni–Ce 0.8 Pr x Sm 0.2-x O 2-δ (x = 0–0.15) is studied as an anode of solid oxide fuel cells. The doping of Pr facilitates the chemical oxidation of CH 3 OH on the ceramic phase because the strength of Pr–O bond is weaker than that of Ce–O bond. With the addition of Pr, the electronic conductivity of the ceramic phase increases in an oxidizing atmosphere but decreases in a reducing atmosphere. The electrochemical conductivity relaxation results indicate that Pr improves oxygen surface exchange coefficient and oxygen chemical diffusion coefficient of Ce 0.8 Sm 0.2 O 2-δ simultaneously. The doping of Pr shows negligible influence on the performance of the cell fed with H 2 due to the high reactivity of H 2 . However, the maximum power density of the cell with methanol as the fuel increases significantly with the addition of Pr in the anode, demonstrating the high importance of the oxygen activity of the anode when a less active fuel is used. A Ce 0.8 Sm 0.2 O 2-δ -carbonate electrolyte-supported single cell with Ni–Ce 0.8 Pr 0.1 Sm 0.1 O 2-δ anode shows a maximum power density of 792 mW cm −2 at 650 °C with methanol as the fuel.

研究领域: 材料科学 · 能源科学
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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY · 2025 · IF 8.3

Exploring Al doped ZnO for the oxygen electrode of reversible solid oxide electrochemical cells

Rong Fang,Hongwei Hu,Jiupai Ni,Chengsheng Ni

ZnO is a semiconductor with a reactive surface due to the presence of oxygen vacancies, but its application in solid oxide electrochemical cells (SOCs) was limited by its low electronic conductivity. Aluminum-doped zinc oxide (AZO), an n -type transparent conductive oxide, is explored for the reversible SOCs. Interestingly, 2 at. % of alumina doping in zinc oxide (AZO-2) increased the electric conductivity of ZnO to 1 Scm −1 at 800 °C. The K chem (5.98 x 10 −8  cm s −1 ) of AZO-2 from electric conductivity relaxation is 91% higher than that of ZnO. AZO-2 electrode on Y 0.16 Zr 0.84 O 1.92 (8YSZ) electrolyte exhibits a polarization resistance ( R p ) of 0.73 Ω cm 2 at open-circuit voltage and 800 °C, and the reaction is limited by the surface exchange of oxygen species. The surface exchange current density of AZO-2 cathode on Y 0.16 Zr 0.84 O 1.92 is 0.0736 A cm -2 at 800 °C. AZO-2 electrode can be activated after 20 cycles of switching bias, and the R p is further decreases to 0.26 Ω cm 2 . This study confirms that AZO with an enhanced electric conductivity can be used for the oxygen electrode of a reversible SOC due to the fast surface oxygen exchange over the defective surface with couple Zn 2+ and O 2− vacancies.

CAS / MDL: 77-92-9 5949-29-1
研究领域: 材料科学 · 能源科学
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JOURNAL OF POWER SOURCES · 2023 · IF 9.2

Synergistic effects of A-site deficiency and anion doping on Pr0.4Sr0.6Ni0.2Fe0.7Mo0.1O3 cathode for H2O electrolysis and CO2 electrolysis

Ping Li,Fei Liu,Zhifan Zhu,Fei Yan,Xiaofeng Tong,Tian Gan,Ligang Wang,Dong Fu

In this work, a strategy of A-site deficiency and F-doping was proposed to prepare Pr 0.4 Sr 0.55 Ni 0.2 Fe 0.7 Mo 0.1 F 0.1 O 2.9 (PSNFMF) cathode. Compared with the reduced Pr 0.4 Sr 0.6 Ni 0.2 Fe 0.7 Mo 0.1 O 3 (R-PSNFM), the reduced PSNFMF facilitate the exsolution reaction and generate more oxygen vacancies . Moreover, at 800 °C, the chemical oxygen surface exchange coefficient ( k chem ) of R-PSNFMF is 4.31 × 10 −4  cm s −1 , 21.8% higher than the value of 3.54 × 10 −4  cm s −1 for R-PSNFM, and the oxygen chemical bulk diffusion coefficient ( D chem ) of R-PSNFMF is 34.21 × 10 −5  cm 2  s −1 , 24.3% higher than the value of 27.53 × 10 −5  cm 2  s −1 for R-PSNFM, suggesting faster oxygen transport kinetics are obtained for R-PSNFMF. Meanwhile, the synergistic effect of A-site deficiency and anion doping can also promote the electrolysis of H 2 O and CO 2 . For H 2 O electrolysis, the current density of R-PSNFMF based cell at 0.4 V (vs. OCV) is −0.75 A cm −2 , 31.6% higher than the value of −0.56 A cm −2 for R-PSNFM based cell. And for CO 2 electrolysis in harsh condition at 800 °C, the current density of R-PSNFMF based cell at 0.4 V (vs. OCV) is −0.43 A cm −2 , 38.7% higher than the value of −0.31 A cm −2 for R-PSNFM based cell.

研究领域: 材料科学 · 能源化学
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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY · 2025 · IF 8.3

Electrospun A-site deficient LSM nanofibers as high-performance cathodes for intermediate-temperature solid oxide fuel cells

Kai Ma,Jietao Wang,Yao Luo,Xu Chang,Tong Liu,Yao Wang,Mingyue Ding

This study demonstrates the successful fabrication of (La 0.6 Sr 0.4 ) 0.95 MnO 3-δ (LSM) nanofibers via the electrospinning technique for intermediate-temperature solid oxide fuel cell application. The as-prepared LSM nanofiber cathode exhibit superior electrochemical performance compared to the conventional LSM cathode due to its unique three-dimensional network structure with enhanced oxygen vacancy concentration, larger specific surface area of 26.664 m 2  g −1 as well as improved oxygen surface exchange kinetics, thereby leading to a 14 % reduction in polarization resistance from 5.24 to 4.53 Ω cm −2 750 °C and a lowered activation energy from 0.81 to 0.70 eV in the symmetrical cell tests. Meanwhile, the single cell also achieves enhanced maximum power densities of 0.400, 0.289, and 0.153 W cm −2 at 800, 750, and 700 °C, respectively, and has the excellent operational stability over 50 h. Our findings in this work can provide valuable insights into the rational design of efficient and robust SOFC cathodes through the nanostructural engineering strategy such as the electrospinning technique.

CAS / MDL: 56-40-6 77-92-9
研究领域: 材料科学 · 能源技术 · 纳米技术 · 电化学
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Journal of Materials Chemistry A · 2020 ·Vol. 8 ·期 28 ·14162-14170 · IF 11.301

A SmBaCo2O5+δ double perovskite with epitaxially grown Sm0.2Ce0.8O2−δ nanoparticles as a promising cathode for solid oxide fuel cells

Zhihong Du,Keyun Li,Hailei Zhao,Xu Dong,Yang Zhang,Konrad Świerczek

Modified by Sm0.2Ce0.8O2−δ (SDC) nanoparticles (NPs), SmBaCo2O5+δ (SBCO) double perovskite oxide is evaluated as a promising cathode material for intermediate temperature solid oxide fuel cells. The SDC NPs are epitaxially grown on the surface of SBCO with (220) planes of SDC aligning smoothly to (020) or (100) planes of SBCO, forming a tight, coherent connection at the interface. The influence of this modification on thermal expansion, oxygen diffusion, electrical conductivity and electrochemical properties is investigated thoroughly in this work. The designed SBCO–SDC cathode material demonstrates a lower thermal expansion coefficient (TEC), ∼16.4 × 10−6 K−1, than that of the unmodified SBCO, ∼20.9 × 10−6 K−1. While SDC coating results in a decreased total electrical conductivity, it facilitates oxygen bulk diffusion and improves the surface exchange reaction kinetics. Coating with SDC NPs can accelerate the rate-determining process of dissociation of the absorbed molecular oxygen, especially at intermediate temperatures. Accordingly, the constructed symmetrical cell with the La0.8Sr0.2Ga0.8Mg0.2O3−δ (LSGM) electrolyte shows lower polarization resistance values, if the SBCO–SDC cathode is utilized. Also, the LSGM electrolyte-supported (300 μm) full cell is found to deliver a high power density of 800 mW cm−2 at 800 °C. Owing to the strong and coherent interfacial connection, the developed cathode demonstrates a relatively steady electrochemical performance.

研究领域: 材料科学 · 能源化学 · 电化学 · 无机功能材料 · 燃料电池技术
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ACS Sustainable Chemistry & Engineering · 2025 · IF 7.3

Enhanced Oxygen Reduction Reaction Kinetics of Li-Containing Oxide as a High-Performance Cathode for Solid Oxide Fuel Cells Through Synergistic Li Volatilization and Anion Doping

Zhe Zhang,Chuangang Yao,Haixia Zhang,Yuxi Sun,Baixi Xia,Wanning Liu,Jingyi Ding,Li Zhang,Xiaoshi Lang,Kedi Cai

LiCoO2 is widely used in lithium-ion batteries. Innovatively, this study reveals that by employing a synergistic strategy of Li volatilization and anion doping, LiCoO2-based materials demonstrate exceptional performance as solid oxide fuel cell (SOFC) cathodes. At high temperatures, Li volatilization forms a Co3O4 phase. Concurrently, anionic doping is achieved by substituting F ions for O ions. The synergy of these two strategies increases the concentration of oxygen vacancies and the formation of heterogeneous interfaces, effectively enhancing the adsorption, dissociation, and diffusion rates of oxygen, thereby significantly improving the oxygen reduction reaction (ORR) of LiCoO2 (LCO). LCOF1 (LiCoO1.9F0.1+Co3O4) exhibits an oxygen diffusion coefficient (Dchem) and surface exchange coefficient (Kchem) of 8.85 × 10–5 cm2 s–1 and 7.61 × 10–3 cm s–1, respectively, which are 45% and 26% higher than those of undoped LCO. Furthermore, at 800 °C, LCOF1 achieves a PPD of 0.86 W cm–2 and an Rp as low as 0.012 Ω cm2, representing improvements of 110% in PPD and a reduction of 78.6% in Rp compared to LCO. These findings indicate that the synergistic effect of Li volatilization and F doping is an effective strategy for enhancing the performance of Li-containing cathodes, offering valuable perspectives for the development of high-performance SOFC cathodes.

研究领域: 材料科学 · 电化学 · 能源材料 · 燃料电池 · 陶瓷
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Nature Energy · 2022 ·Vol. 7 ·期 9 ·866-875 · IF 67.439

A combined ionic Lewis acid descriptor and machine-learning approach to prediction of efficient oxygen reduction electrodes for ceramic fuel cells

Zhai Shuo,Xie Heping,Cui Peng,Guan Daqin,Wang Jian,Zhao Siyuan,Chen Bin,Song Yufei,Shao Zongping,Ni Meng

Improved, highly active cathode materials are needed to promote the commercialization of ceramic fuel cell technology. However, the conventional trial-and-error process of material design, characterization and testing can make for a long and complex research cycle. Here we demonstrate an experimentally validated machine-learning-driven approach to accelerate the discovery of efficient oxygen reduction electrodes, where the ionic Lewis acid strength (ISA) is introduced as an effective physical descriptor for the oxygen reduction reaction activity of perovskite oxides. Four oxides, screened from 6,871 distinct perovskite compositions, are successfully synthesized and confirmed to have superior activity metrics. Experimental characterization reveals that decreased A-site and increased B-site ISAs in perovskite oxides considerably improve the surface exchange kinetics. Theoretical calculations indicate such improved activity is mainly attributed to the shift of electron pairs caused by polarization distribution of ISAs at sites A and B, which greatly reduces oxygen vacancy formation energy and migration barrier.

研究领域: 材料科学 · 化学 · 能源技术 · 机器学习
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