Ga-substituted Li7La3Zr2O12: An investigation based on grain coarsening in garnet-type lithium ion conductors

Li, Changlong; Liu, Yuanyuan; He, Jian; Brinkman, Kyle S.

doi:10.1016/j.jallcom.2016.11.277

Cited by 80 publications

(42 citation statements)

References 43 publications

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“…In contrast, solid electrolyte, lithium phosphorous oxynitride (LiPON) exhibits a much lower ionic conductivity of ≈10 −6 S cm −1 compared to their liquid counterparts . However, there have been new discoveries and advancement of SSE classes, such as the improved oxide SSEs with garnet‐like structures which can reach the an ionic conductivity in the range of ≈10 −3 –10 −4 S cm −1 . The ionic conductivity of sulfide‐based SSEs have reached ≈10 −2 S cm −1 , which is comparable to the OLEs (Figure b) .…”

Section: Introductionmentioning

confidence: 99%

Sulfide‐Based Solid‐State Electrolytes: Synthesis, Stability, and Potential for All‐Solid‐State Batteries

et al. 2019

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Due to their high ionic conductivity and adeciduate mechanical features for lamination, sulfide composites have received increasing attention as solid electrolyte in all-solid-state batteries. Their smaller electronegativity and binding energy to Li ions and bigger atomic radius provide high ionic conductivity and make them attractive for practical applications. In recent years, noticeable efforts have been made to develop high-performance sulfide solid-state electrolytes. However, sulfide solid-state electrolytes still face numerous challenges including: 1) the need for a higher stability voltage window, 2) a better electrode-electrolyte interface and air stability, and 3) a cost-effective approach for large-scale manufacturing. Herein, a comprehensive update on the properties (structural and chemical), synthesis of sulfide solid-state electrolytes, and the development of sulfide-based all-solid-state batteries is provided, including electrochemical and chemical stability, interface stabilization, and their applications in high performance and safe energy storage.

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Section: Introductionmentioning

confidence: 99%

Sulfide‐Based Solid‐State Electrolytes: Synthesis, Stability, and Potential for All‐Solid‐State Batteries

et al. 2019

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“…The final 17 descriptors applied in the machine learning were categorized into material, experimental, chemical and structural properties (see Figure 1). The additives (0: absent; 1: present), content of additives (wt%), sintering temperature (°C), sintering time (h), pellet diameter (mm), method type, grain size (μm) and phase type were collected along with the ionic conductivities from various published papers [8,[10][11][12]14,15,[30][31][32][33][34][35][36][37][38][39][40][41][42]. The method types were ball mill/ solid-state (0), melt quench (1), liquid phase (2), and sol-gel techniques (3).…”

Section: Descriptormentioning

confidence: 99%

Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes

Tanaka

Komori

et al. 2020

Science and Technology of Advanced Materials

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We present a computational approach for identifying the important descriptors of the ionic conductivities of lithium solid electrolytes. Our approach discriminates the factors of both bulk and grain boundary conductivities, which have been rarely reported. The effects of the interrelated structural (e.g. grain size, phase), material (e.g. Li ratio), chemical (e.g. electronegativity, polarizability) and experimental (e.g. sintering temperature, synthesis method) properties on the bulk and grain boundary conductivities are investigated via machine learning. The data are trained using the bulk and grain boundary conductivities of Li solid conductors at room temperature. The important descriptors are elucidated by their feature importance and predictive performances, as determined by a nonlinear XGBoost algorithm: (i) the experimental descriptors of sintering conditions are significant for both bulk and grain boundary, (ii) the material descriptors of Li site occupancy and Li ratio are the prior descriptors for bulk, (iii) the density and unit cell volume are the prior structural descriptors while the polarizability and electronegativity are the prior chemical descriptors for grain boundary, (iv) the grain size provides physical insights such as the thermodynamic condition and should be considered for determining grain boundary conductance in solid polycrystalline ionic conductors.

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“…However, the details of the phase transition between these two phases are not completely understood. Multiple doping strategies have been investigated in order to prevent secondary phase formation and to stabilize the cubic structure of LLZO at room temperature; candidates include aluminum (Al) [38][39][40][41][42], yttrium (Y) [43], gallium (Ga) [39,[44][45][46], tantalum (Ta) [39,47], niobium (Nb) [48], and tungsten (W) [49]. Recent studies focused on controlling the grain boundary area by spark plasma sintering in conjunction with high temperature annealing indicated when multiple effects were taken into consideration, samples with a larger grain size exhibited higher total lithium conductivity pointing to blocking role of the interface on ionic transport [46].…”

Section: Model Single Phase Materials: Interfacial Characteristicsmentioning

confidence: 99%

An Interdisciplinary View of Interfaces: Perspectives Regarding Emergent Phase Formation

Brinkman

2017

Journal of Electrochemical Energy Conversion and Storage

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A perspective on emergent phase formation is presented using an interdisciplinary approach gained by working at the "interface" between diverse application areas, including solid oxide fuel cells (SOFCs) and ionic membrane systems, solid state lithium batteries, and ceramics for nuclear waste immobilization. The grain boundary interfacial characteristics of model single-phase materials in these application areas, including (i) CeO 2 , (ii) Li 7 La 3 Zr 2 O 12 (LLZO), and (iii) hollandite of the form Ba x Cs y Ga 2xþy Ti 8-2x-y O 16 , as well as the potential for emergent phase formation in composite systems, are discussed. The potential physical properties resulting from emergent phase structure and distribution are discussed, including an overview of existing three-dimensional (3D) imaging techniques recently used for characterization. Finally, an approach for thermodynamic characterization of emergent phases based on melt solution calorimetry is outlined, which may be used to predict the energy landscape including phase formation and stability of complex multiphase systems.

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Ga-substituted Li7La3Zr2O12: An investigation based on grain coarsening in garnet-type lithium ion conductors

Cited by 80 publications

References 43 publications

Sulfide‐Based Solid‐State Electrolytes: Synthesis, Stability, and Potential for All‐Solid‐State Batteries

Sulfide‐Based Solid‐State Electrolytes: Synthesis, Stability, and Potential for All‐Solid‐State Batteries

Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes

An Interdisciplinary View of Interfaces: Perspectives Regarding Emergent Phase Formation

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