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Record W2901407878 · doi:10.1149/ma2018-02/4/187

Investigating the Removal of Layered Double Hydroxides in [Ni<sub>0.80</sub>Co<sub>0.15</sub>]<sub>0.95-X</sub>Al<sub>0.05+X</sub>(OH)<sub>2</sub> (x = 0, 0.05) Prepared By Coprecipitation

2018· article· en· W2901407878 on OpenAlexaff
Aaron Liu, Ning Zhang, Jing Li, Hongyang Li, J. R. Dahn

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldMaterials Science
TopicLayered Double Hydroxides Synthesis and Applications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLayered double hydroxidesHydroxideCoprecipitationDivalentInorganic chemistryPhase (matter)MetalNickelMetal hydroxideMaterials scienceChemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

Nickel-rich materials such as LiNi 1-x-y Mn x Co y O 2 (NMC) and LiNi 1-x-y Co x Al y O 2 (NCA) have become attractive compared to LiCoO 2 due to their lower cost, increased lifetime and increased safety. Coprecipitation is a common method to synthesize mixed metal hydroxides (M(OH) 2 : M = divalent transition metals) as the precursor materials to the lithiated metal oxides. While the syntheses of divalent NMC precursor materials are well understood, the introduction of a trivalent cation, such as Al +3 , complicates the synthesis and affects the products significantly. 1 In order to balance the charge, an extra anion needs to be incorporated into the layered structure, resulting in the formation of a new layered double hydroxide (LDH) phase. 1 Increases in the Al content of the precursor result in a larger proportion of LDH phase in the material. Most insidious is that the Al atoms are in the LDH phase and not uniformly distributed as a solid solution in the material. Literature on NCA materials often omit reporting precursor characterization, or obtain commercial precursors that do not have LDH. Even when a group reported precursors with no LDH 2 and with LDH 3 using the same synthesis method, there was only a brief mention about LDH presence, with no discussion as to its formation or removal. LDH phases have been widely reported in supercapacitor research, even in ­NCA hydroxides. 4 Unfortunately, there has been little to no work reported on the conversion of LDH phases with trivalent cations to phases with no intercalated molecules. However, there is a large body of work on the 2 known phases of Ni(OH) 2 , denoted as α-Ni(OH) 2 and β-Ni(OH) 2 . 5 α-Ni(OH) 2 is analogous to the LDH phase, with water molecules intercalated between layers of Ni(OH) 2 ; β-Ni(OH) 2 does not have any intercalated molecules. It is known that α-Ni(OH)2, can be converted into β-Ni(OH)2 by a process called chemical ageing. 5 This is generally performed in concentrated alkaline solutions, usually at higher temperatures. In this work, [Ni 0.80 Co 0.15 ] 0.95-x Al 0.05+x (OH) 2 (x = 0, 0.05) precursor materials were prepared by the coprecipitation method. The materials with Al contained appreciable amounts of LDH phase. The precursor materials were then washed in a solution of NaOH, filtered and dried. NaOH concentration, initial solution temperature, stirring temperature and stirring time were varied to study their impact on LDH removal. Unwashed and washed samples were characterized by XRD, ICP-OES, and TGA-MS to monitor LDH content, metal ratios and LDH anions. SEM and photographs were also used to monitor morphological and visual changes. Recommended recipes for the production of competitive NCA hydroxide precursors are reported. The competitive hydroxides were reacted with LiOH•H 2 O at elevated temperature to create NCA materials with excellent electrochemical behavior. (1) Zhao, X.; Zhou, F.; Dahn, J. R. J. Electrochem. Soc. 2008 , 155 , A642–A647. (2) Duan, J.; Hu, G.; Cao, Y.; Tan, C.; Wu, C.; Du, K.; Peng, Z. J. Power Sources 2016 , 326 , 322–330. (3) Duan, J.; Wu, C.; Cao, Y.; Huang, D.; Du, K.; Peng, Z.; Hu, G. J. Alloys Compd. 2017 , 695 , 91–99. (4) Wang, X.; Lin, Y.; Su, Y.; Zhang, B.; Li, C.; Wang, H.; Wang, L. Electrochim. Acta 2017 , 225 , 263–271. (5) Hall, D. S.; Lockwood, D. J.; Bock, C.; MacDougall, B. R. Proc. R. Soc. A 2014 , 471 , 20140792(1-65).

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.260
Teacher spread0.239 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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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Citations1
Published2018
Admission routes1
Has abstractyes

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