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In Situ X-ray Absorption Near-Edge Structure Calculation and Machine Learning Analysis of the Structural Evolution in Lithium-Ion Battery Cathode Materials | |
2021-09-02 | |
发表期刊 | JOURNAL OF PHYSICAL CHEMISTRY C (IF:3.3[JCR-2023],3.5[5-Year]) |
ISSN | 1932-7447 |
EISSN | 1932-7455 |
卷号 | 125期号:34页码:18979-18987 |
发表状态 | 已发表 |
DOI | 10.1021/acs.jpcc.1c05810 |
摘要 | The development of lithium-ion battery cathode materials has improved the overall performance of the battery, while the unresolved irreversible structural evolution that occurs at high voltage hinders their practical application. In situ X-ray absorption spectroscopy is beneficial to research the electronic and atomic structure information related to the complex mechanism. Massive X-ray absorption near-edge structure spectra calculation based on ab initio code and assisted by machine learning can solve the related problems more effectively. In this work, theoretical calculations of the in situ Mn/Co/Ni K-edge XANES spectra of Li1.2Mn0.54Co0.13Ni0.13O2 during the initial charging process were carried out. We have achieved fine-tuning the ratio of Mn and Ni, XANES simulations were conducted to achieve cluster analysis, which showed the influence of tetrahedral Mn (Mn-tet), octahedral Mn (Mn-oct), and Ni (Ni-2b) in the transition metal layer on the spectra. With several analysis methods, it was determined that Mn-tet does not exist, and only when the Mn-oct/Ni-2b ratio decreased from 0.78/0.4 to 0.48/0.2 did the calculated spectra of Mn/Ni coincide with the experimental spectra. This method provides a qualitative and quantitative analysis model for predicting the local structural evolution of cathode materials during the initial charging process and indirectly evaluates the reliability of the experimental data. |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
WOS研究方向 | Chemistry ; Science & Technology - Other Topics ; Materials Science |
WOS类目 | Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary |
WOS记录号 | WOS:000693413400046 |
出版者 | AMER CHEMICAL SOC |
原始文献类型 | Article |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/128242 |
专题 | 物质科学与技术学院_硕士生 |
通讯作者 | Yu, Xiqian; Jiang, Zheng |
作者单位 | 1.Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201204, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai Synchrotron Radiat Facil, Shanghai 201204, Peoples R China; 4.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai 201210, Peoples R China; 5.Chinese Acad Sci, Beijing Adv Innovat Ctr Mat Genome Engn, Key Lab Renewable Energy, Beijing 100190, Peoples R China; 6.Chinese Acad Sci, Beijing Key Lab New Energy Mat & Devices, Inst Phys, Beijing 100190, Peoples R China; 7.Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Ji,Mei, Bingbao,Liu, Hongzhou,et al. In Situ X-ray Absorption Near-Edge Structure Calculation and Machine Learning Analysis of the Structural Evolution in Lithium-Ion Battery Cathode Materials[J]. JOURNAL OF PHYSICAL CHEMISTRY C,2021,125(34):18979-18987. |
APA | Li, Ji.,Mei, Bingbao.,Liu, Hongzhou.,Li, Xuewen.,Gu, Songqi.,...&Jiang, Zheng.(2021).In Situ X-ray Absorption Near-Edge Structure Calculation and Machine Learning Analysis of the Structural Evolution in Lithium-Ion Battery Cathode Materials.JOURNAL OF PHYSICAL CHEMISTRY C,125(34),18979-18987. |
MLA | Li, Ji,et al."In Situ X-ray Absorption Near-Edge Structure Calculation and Machine Learning Analysis of the Structural Evolution in Lithium-Ion Battery Cathode Materials".JOURNAL OF PHYSICAL CHEMISTRY C 125.34(2021):18979-18987. |
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