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Investigation of pristine Li1.2Ni0.13Mn0.56Co0.13O2 by advanced <scp>TEM</scp>

2016· other· en· W2565525108 on OpenAlexaff
Christian Wiktor, Hanshuo Liu, Meng Jiang, Yan Wu, Xingyi Yang, Gianluigi A. Botton

Bibliographic record

VenueEuropean Microscopy Congress 2016: Proceedings · 2016
Typeother
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMonoclinic crystal systemCrystallographySolid solutionPhase (matter)IonLithium (medication)ChemistryMaterials scienceCrystal structureOrganic chemistry

Abstract

fetched live from OpenAlex

Layered Li‐transition metal (TM) oxides are very promising materials for new Li ion battery cathodes. Compounds with an increased content of Li and Mn are particularly interesting because they exhibit a high capacity of 200‐300 mAhg −1 even after an initial drop in capacity during the first charging cycle.[1] The structure of such compounds and their capacity degradation over multiple cycles is not fully understood due to the complexity of the crystallographic phases, the ambiguities in the diffraction data and the presence of additional phases. The investigated compound Li 1.2 Ni 0.13 Mn 0.56 Co 0.13 O 2 is derived from LiNi 0.33 Mn 0.33 Co 0.33 O 2 , (NMC). Due to the higher capacity of the Li‐rich compound, it will be referred to as high energy NMC (HENMC).[2] The chemical formula of HENMC can be rewritten as Li 2 MnO 3 · LiNi 0.33 Mn 0.33 Co 0.33 O 2 which implies that this compound is a mixture of trigonal NMC and monoclinic Li 2 MnO 3 . In NMC, there are two different cation layers which are exclusively occupied by Li and TM respectively. In Li 2 MnO 3 one third of the TM sites are occupied by Li. HENMC must be either a phase mixture with distinct domains of the two oxides or a solid solution of the two, with “Li rich” positions in the TM layers and an overall reduced, monoclinic symmetry (Figure 1).[3] The exact nature of HENMC and similar materials is crucial to understand the de‐lithiation processes during charging cycles. The layered structure and its relation to other phases was investigated with a combination of electron diffraction in bright‐field and scanning modes with high resolution transmission electron microscopy (HRTEM) and high‐angle annular dark‐field scanning TEM (HAADF‐STEM) imaging. Due to the high structural similarity of NMC and Li 2 MnO 3 , all lattice distances which can be found for NMC can also be found for Li 2 MnO 3 ; as seen in the respective electron diffraction patterns (Figure 2). HAADF‐STEM imaging reveals the presence of Li‐rich positions in the TM layers as indicated by a lower intensity of the related atom columns (Figure 3). Due to the stacking faults of the TM layers, the interpretation of contrast in any other orientation becomes by far less intuitive as we will demonstrate. A LiTM 2 O 4 spinel phase is found on the surface quite frequently. Its relation to the bulk phase was derived from high resolution images. STEM‐EELS revealed the presence of surface reduction due to oxygen depletion in HENMC. This work thus provides structural information about the synthesized material in its pristine state to facilitate understanding the changes the material undergoes during the (de‐)lithiation segments of electrochemical cycling. Further investigations on such effects are currently being carried out and will be discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.233
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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