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Record W2508735062 · doi:10.1002/ente.201600371

Calcium Doping of Lithium Titanium Oxide Nanospheres: A Combined First‐Principles and Experimental Study

2016· article· en· W2508735062 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnergy Technology · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMcGill University
FundersNatural Science Foundation of Guangdong ProvinceChina Postdoctoral Science Foundation
KeywordsMaterials scienceLithium (medication)SpinelDopingTitanium oxideOxideCalcium oxideCalciumTitaniumDensity functional theoryChemical engineeringInorganic chemistryNanotechnologyMetallurgyOptoelectronicsChemistryComputational chemistry

Abstract

fetched live from OpenAlex

Abstract Nanospherical lithium titanium oxide (LTO; Li 4 Ti 5 O 12 ) is doped with calcium by a novel route. The prepared material displays superior rate performance prepared with an ultrahigh specific capacity of 155.1 mAh g −1 at 10 C after 1000 cycles. Using density functional theory (DFT) calculations, it is also revealed that the energetically favorable substitution of calcium on the lithium sites in LTO spinel induces a conversion in the electrical conductivity behavior, from intrinsic insulator to metallic, which accounts for the good rate performance. The strategy of combining calcium doping with nanostructuring provides a potentially rewarding avenue towards the design and optimization of common electrode materials.

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.

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 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 score0.018
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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