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Record W2800849123 · doi:10.1039/c8cc00802g

Endowing CuTCNQ with a new role: a high-capacity cathode for K-ion batteries

2018· article· en· W2800849123 on OpenAlex
Jing Ma, Zhou En, Cong Fan, Bo Wu, Chao Li, Zheng‐Hong Lu, Jingze Li

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

VenueChemical Communications · 2018
Typearticle
Languageen
FieldMaterials Science
TopicOrganic and Molecular Conductors Research
Canadian institutionsUniversity of TorontoToronto Public Health
FundersNational Natural Science Foundation of China
KeywordsCathodeTetracyanoquinodimethanePotassiumRedoxIonYield (engineering)Current densityChemistryElectrochemistryMaterials scienceChemical engineeringInorganic chemistryElectrodeOrganic chemistryMoleculePhysical chemistryMetallurgy

Abstract

fetched live from OpenAlex

Herein, copper-tetracyanoquinodimethane (CuTCNQ) with phase-I kinetics character has been proposed as an effective cathode for potassium-ion batteries. In a voltage range of 2-4.1 V (vs. K+/K), both cuprous cations (Cu+) and organic anions (TCNQ-) are electrochemically active, and they render a three-electron redox mechanism, thereby enabling CuTCNQ to yield a high specific discharge capacity of 244 mA h g-1. Even after 50 cycles, the discharge capacity of 170 mA h g-1 is retained at 50 mA g-1. In addition, when the current density is elevated to 1000 mA g-1, the discharge capacity is still maintained at 125 mA h g-1. These test data are among the best results reported for high-potential cathodes of potassium-ion batteries.

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 score0.051
Threshold uncertainty score0.350

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.068
GPT teacher head0.312
Teacher spread0.244 · 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