MétaCan
Menu
Back to cohort
Record W2333520234 · doi:10.1021/cm9018309

Coprecipitation Synthesis of Ni<sub><i>x</i></sub>Mn<sub>1−x</sub>(OH)<sub>2</sub> Mixed Hydroxides

2009· article· en· W2333520234 on OpenAlexaff
Fu Zhou, Xuemei Zhao, Andrew van Bommel, Aaron Rowe, J. R. Dahn

Bibliographic record

VenueChemistry of Materials · 2009
Typearticle
Languageen
FieldMaterials Science
TopicLayered Double Hydroxides Synthesis and Applications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCoprecipitationHydroxideLayered double hydroxidesChemistryInorganic chemistryAmmoniaX-ray crystallographyNuclear chemistryCrystallographyMaterials scienceMineralogyDiffractionOrganic chemistry

Abstract

fetched live from OpenAlex

Four separate coprecipitation routes were applied to the preparation of Ni x Mn 1− x (OH) 2 mixed hydroxides with x = 1, 5/6, 2/3, 1/2, 1/3, and 0, beginning with divalent nitrates. The structure and morphology of the samples were studied by X-ray diffraction and scanning electron microscopy techniques. Intentionally bubbled air during coprecipitation was found to create layered double hydroxide (LDH) phases for x = 5/6, coexisting LDH and Mn 3 O 4 phases for 5/6 > x > 0, and Mn 3 O 4 for x = 0. On the basis of the structures observed, these trends could be attributed to the relative ease of oxidation of Mn 2+ to Mn 3+ . Pure hydroxides, with the expected Ni(OH) 2 structure, were prepared for all x when air was excluded from the coprecipitation reaction. Spherical and dense particles could be prepared for all compositions attempted when ammonia was added during coprecipitation under anaerobic conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.222
Teacher spread0.210 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations121
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueChemistry of MaterialsSame topicLayered Double Hydroxides Synthesis and ApplicationsFrench-language works237,207