Hierarchical Defect Engineering for LiCoO2 through Low-Solubility Trace Element Doping

Hong, Yanshuai; Huang, Xiaojing; Wei, Chenxi; Wang, Jun-Yang; Zhang, Jie-Nan; Yan, Hanfei; Chu, Yong S.; Pianetta, P.; Xiao, Ruijuan; Yu, Xiqian; Liu, Yijin; Li, Hong

doi:10.1016/j.chempr.2020.07.017

Cited by 96 publications

(67 citation statements)

References 41 publications

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“…Focusing on the intra-granular reaction kinetics, we point out that trace doping with elements of low solubility could lead to dopant segregation and, subsequently, impact the lithium diffusion pathways. 13,[38][39][40] This method can be utilized to effectively tailor the mesoscale SOC heterogeneity for a balanced surface stability and diffusion efficiency.…”

Section: Nanoscale Inter-granular and Inter-granular Chemical Heterogeneitymentioning

confidence: 99%

Understanding multi-scale battery degradation with a macro-to-nano zoom through its hierarchy

et al. 2021

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Section: Nanoscale Inter-granular and Inter-granular Chemical Heterogeneitymentioning

confidence: 99%

Understanding multi-scale battery degradation with a macro-to-nano zoom through its hierarchy

et al. 2021

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“…X-ray microscopy techniques provide position-sensitive structural and chemical information of samples with various modalities, e.g. element-sensitive fluorescence (Kopittke et al, 2018;Pushie et al, 2014), crystalline structure sensitive diffraction (Thibault & Elser, 2010;Bernier et al, 2020;Hong et al, 2020;Xu, Hou et al, 2020) and chemical-state-sensitive near-edge absorption spectroscopy (Kuzmin & Chaboy, 2014). Such information at mesoscales is complementary to their counterparts of X-ray bulk techniques at macroscopic scales and electron-microscopy techniques at microscopic scales, which makes X-ray microscopy critical in studying complex systems that have hierarchical structures (Lin et al, 2017;Bak et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

TXM-Sandbox: an open-source software for transmission X-ray microscopy data analysis

Xiao¹,

Xu²,

Lin³

et al. 2022

J Synchrotron Rad

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A transmission X-ray microscope (TXM) can investigate morphological and chemical information of a tens to hundred micrometre-thick specimen on a length scale of tens to hundreds of nanometres. It has broad applications in material sciences and battery research. TXM data processing is composed of multiple steps. A workflow software has been developed that integrates all the tools required for general TXM data processing and visualization. The software is written in Python and has a graphic user interface in Jupyter Notebook. Users have access to the intermediate analysis results within Jupyter Notebook and have options to insert extra data processing steps in addition to those that are integrated in the software. The software seamlessly integrates ImageJ as its primary image viewer, providing rich image visualization and processing routines. As a guide for users, several TXM specific data analysis issues and examples are also presented.

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Section: Synchrotron Characterization Of Ltmo’s Morphological Complex...mentioning

confidence: 99%

“…Another approach to directly reveal the lattice heterogeneity is to conduct a spatially resolved XRD measurement using a small X-ray focal spot. For this purpose, the hard X-ray nanoprobe (HXN) has demonstrated exceptional capability of detecting the lattice structures and their variations in space [ 77 ]. In an HXN study of quasi-single-crystalline LTMO material, the X-rays were focused to a spot of ∼30 nm onto a sample, producing a spotty diffraction pattern with peaks in the orientations that satisfy the Bragg conditions.…”

Section: Synchrotron Characterization Of Ltmo’s Morphological Complex...mentioning

confidence: 99%

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Structural and chemical evolution in layered oxide cathodes of lithium-ion batteries revealed by synchrotron techniques

Qian

Wang

et al. 2021

National Science Review

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Rechargeable battery technologies have revolutionized the electronics, transportation, and grid energy storage. While many materials are being researched for battery applications, layered transition metal oxides (LTMO) are the dominating cathode candidate with remarkable electrochemical performance. Yet, daunting challenges persist in the quest for further battery developments targeting lower cost, longer lifespan, improved energy density, and enhanced safety. This is in part due to the intrinsic complexity in real-world batteries, featuring sophisticated interplay among microstructural, compositional, and chemical heterogeneities, which motivates tremendous research efforts using state-of-the-art analytical techniques. In this research field, synchrotron techniques are identified as a suite of effective methods for advanced battery characterization in a nondestructive manner with sensitivities to the lattice, electronic, and morphological structures. This article provides a holistic overview of the cutting-edge developments in synchrotron-based research on LTMO battery cathode materials. We discuss the complexity and evolution of LTMO’s material properties upon battery operation and review recent synchrotron-based research works that address the frontier challenges and provide novel insights in this field. Finally, we formulate a perspective on the future directions of synchrotron-based battery research, involving the next-generation X-ray facilities and advanced computational developments.

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Hierarchical Defect Engineering for LiCoO2 through Low-Solubility Trace Element Doping

Cited by 96 publications

References 41 publications

Understanding multi-scale battery degradation with a macro-to-nano zoom through its hierarchy

Understanding multi-scale battery degradation with a macro-to-nano zoom through its hierarchy

TXM-Sandbox: an open-source software for transmission X-ray microscopy data analysis

Structural and chemical evolution in layered oxide cathodes of lithium-ion batteries revealed by synchrotron techniques

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