Cation ordering in A-site-deficient Li-ion conducting perovskites La(1−x)/3LixNbO3

Gao, Xiang; Fisher, Craig A. J.; Ikuhara, Y.; Fujiwara, Yasuyuki; Kobayashi, Shunsuke; Moriwake, Hiroki; Kuwabara, Akihide; Hoshikawa, Keigo; Kohama, Keiichi; Iba, Hideki; Ikuhara, Yuichi

doi:10.1039/c4ta07040b

Cited by 39 publications

(38 citation statements)

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“…This is corroborated by the fact that sulfur-containing molecules (such as thiophene) are effective passivating agents for perovskite solar cells where the Lewis acid-base interactions are available. [191][192][193] A number of nonhalide-based perovskite structures and antiperovskites have been employed for lithium-ion battery materials, such as CoTiO 3 , [194] BaSnO 3 , [195] NaNbO 3 , [196] KZnF 3 , [197] Na 0.85 Ni 0.45 Co 0.55 F 3.56 , [198] Li 3/8 Sr 7/16 Ta 3/4 Hf 1/4 O 3 , [199] Li 3/8 Sr 7/16 -Hf 1/4 Ta 3/4 O 3 , [200] Ag 1+ 3 Mo 6+ (O 3 F 3 ), [201] La 0.56−y Li 0.33 TiO 3−3y F 3y , [202] Li 3/8 Sr 7/16 Hf 1/4 Ta 3/4 O 3 , [203] KCo 0.54 Mn 0.46 F 3 , [204] La (1−x)/3 Li x NbO 3 , [205] and Li 0.33 La 0.557 TiO 3 . [206] Apart from the electrode materials in lithium-ion batteries, [207,208] these perovskite derivatives are also common for the lithium-ion battery electrolytes [209,210] and the lithium-sulfur batteries.…”

Section: (12 Of 20)mentioning

confidence: 99%

Halide Perovskite Materials for Energy Storage Applications

Zhang

Miao

et al. 2020

Adv Funct Materials

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Halide perovskites, traditionally a solar-cell material that exhibits superior energy conversion properties, have recently been deployed in energy storage systems such as lithium-ion batteries and photorechargeable batteries. Here, recent progress in halide perovskite-based energy storage systems is presented, focusing on halide perovskite lithium-ion batteries and halide perovskite photorechargeable batteries. Halide-perovskitebased supercapacitors and photosupercapacitors are also discussed. The photorechargeable batteries and photorechargeable supercapacitors employ solar energy to photocharge the battery; this saves energy and improves device portability. These lightweight, integrated halide perovskite-based systems, which are pertinent to electric vehicles and portable electronic devices, are reviewed in detail. Suggestions on future research into the design of halide-perovskite-based energy storage materials are also given. This review provides a foundation for the development of integrated lightweight energy conversion and storage materials.

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Section: (12 Of 20)mentioning

confidence: 99%

Halide Perovskite Materials for Energy Storage Applications

Zhang

Miao

et al. 2020

Adv Funct Materials

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“…Line splitting increases again at y = 0.3, which is presumably due to interference from impurity-phase diffraction peaks. The crystal lattice undergoes a small amount of orthorhombic distortion as Li + gradually replaces La 3+ ; the symmetry of the structure changes from the original orthorhombic ((Li 0.01 La 0.33 ) 1–2 x Sr x NbO 3 ) to tetragonal ((Li 0.1 La 0.3 ) 1–2 x Sr x NbO 3 ) and finally transforms into pseudo-cubic ((Li 0.25 La 0.25 ) 1–2 x Sr x NbO 3 ) …”

Section: Resultsmentioning

confidence: 87%

Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type Li_xLa_(1–x)/3NbO₃ (LLNO) Solid-State Electrolyte Using Bayesian Optimization

et al. 2020

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Li x La(1–x)/3NbO3 (LLNO) is an A-site-deficient perovskite material that has a larger unit cell volume, a lower La3+ concentration, and a higher intrinsic vacancy concentration than (Li x La(2–x)/3TiO3), which is known to be one of the fastest Li-ion conductive oxides. These advantages make LLNO a potential oxide-based solid electrolyte candidate for all-solid-state Li-ion batteries. The A-site and B-site elements in this perovskite-type material can be substituted by ions with various charges and radii in a wide range of ways to form complicated solid solutions; hence, this type of material can be adapted to a variety of application requirements. Doping with monovalent or divalent metal compounds is a promising method for improving the ionic conductance of this perovskite-type material. In this study, the (Li y La(1–y)/3)1–x Sr0.5x NbO3 (0 ≤ 0.5 x ≤ 0.15, 0 ≤ y ≤ 0.3) composition formed by co-doping with Li2CO3 and SrCO3 was optimized using an exhaustive experimental approach. Sixty-four samples with different compositions were structurally analyzed, and their electrochemical performance was experimentally characterized, which revealed that the co-doped samples have higher ionic conductivities and superior sintered morphologies compared to those prepared by single doping. Because Li+ and Sr2+ doping improves the ionic conductivity for different reasons, and many factors, such as higher carrier concentrations, enhancements through sintering, and changes in the microstructure, play important roles, it is difficult or inefficient to determine the best composition using only traditional trial-and-error or intuitive searching. Instead, as a proof-of-concept study, we show that the Bayesian optimization (BO) method efficiently searches for the best composition and that material retrieval during experimental exploration can benefit from BO because it significantly reduces the high workload associated with the trial-and-error approach employed by the materials industry.

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“…This means 1/3 of the vertex La sites are inherent vacancies which accommodate Li ions. Hence, this special Li-containing plane is named as the A 1 layer [23,24] with rich vacancy networks, and the middle-plane gap between neighbouring A 1 layers is called the A 2 layer, which contains only O atoms (purple in Figure 1a). In the charging or discharging process of the Li ion battery, these layers could be the Li + -conductive channels for ionic transport in the solid electrolyte.…”

Section: Resultsmentioning

confidence: 99%

“…Among the available lithium-ion-conducting solid electrolytes, ceramic oxides (10 −5~1 0 −3 S•cm −1 ) such as perovskite materials Li 3x La 2/1−x TiO 3 (LLTO) [18][19][20][21] and Li x La (1−x)/3 NbO 3 (LLNO) [22][23][24], anti-perovskite Li 3 OX (X = Cl, Br) [25][26][27] and garnet structured Li 7 La 3 Zr 2 O 12 (LLZO) [28][29][30][31] have received much attention due to their good electrochemical stability and considerable potential to push the limit of ionic conductivity towards a desired level (~10 −2 S•cm −1 ) in the industrial application of batteries. Their ionic conductivity follows such a microscopic ion migration mechanism: low occupancy of the Li + on the vacancy sites; low migration energy barrier for ion hopping; and network-like available sites (vacancies) [32] to interconnect the migration pathways of the mobile ions in these solid electrolytes [1].…”

Section: Introductionmentioning

confidence: 99%

Defect Engineering and Anisotropic Modulation of Ionic Transport in Perovskite Solid Electrolyte LixLa(1−x)/3NbO3

et al. 2021

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Solid electrolytes, such as perovskite Li3xLa2/1−xTiO3, LixLa(1−x)/3NbO3 and garnet Li7La3Zr2O12 ceramic oxides, have attracted extensive attention in lithium-ion battery research due to their good chemical stability and the improvability of their ionic conductivity with great potential in solid electrolyte battery applications. These solid oxides eliminate safety issues and cycling instability, which are common challenges in the current commercial lithium-ion batteries based on organic liquid electrolytes. However, in practical applications, structural disorders such as point defects and grain boundaries play a dominating role in the ionic transport of these solid electrolytes, where defect engineering to tailor or improve the ionic conductive property is still seldom reported. Here, we demonstrate a defect engineering approach to alter the ionic conductive channels in LixLa(1−x)/3NbO3 (x = 0.1~0.13) electrolytes based on the rearrangements of La sites through a quenching process. The changes in the occupancy and interstitial defects of La ions lead to anisotropic modulation of ionic conductivity with the increase in quenching temperatures. Our trial in this work on the defect engineering of quenched electrolytes will offer opportunities to optimize ionic conductivity and benefit the solid electrolyte battery applications.

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Cation ordering in A-site-deficient Li-ion conducting perovskites La_(1−x)/3Li_xNbO₃

Cited by 39 publications

References 45 publications

Halide Perovskite Materials for Energy Storage Applications

Halide Perovskite Materials for Energy Storage Applications

Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type Li_xLa_(1–x)/3NbO₃ (LLNO) Solid-State Electrolyte Using Bayesian Optimization

Defect Engineering and Anisotropic Modulation of Ionic Transport in Perovskite Solid Electrolyte LixLa(1−x)/3NbO3

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Cation ordering in A-site-deficient Li-ion conducting perovskites La(1−x)/3LixNbO3

Cited by 39 publications

References 45 publications

Halide Perovskite Materials for Energy Storage Applications

Halide Perovskite Materials for Energy Storage Applications

Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type LixLa(1–x)/3NbO3 (LLNO) Solid-State Electrolyte Using Bayesian Optimization

Defect Engineering and Anisotropic Modulation of Ionic Transport in Perovskite Solid Electrolyte LixLa(1−x)/3NbO3

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Cation ordering in A-site-deficient Li-ion conducting perovskites La_(1−x)/3Li_xNbO₃

Efficient Experimental Search for Discovering a Fast Li-Ion Conductor from a Perovskite-Type Li_xLa_(1–x)/3NbO₃ (LLNO) Solid-State Electrolyte Using Bayesian Optimization