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Record W4293067442 · doi:10.1002/batt.202200182

An Aluminum‐Benzo[1,2‐b:4,5‐b’]dithiophene‐4,8‐dione Organic Rechargeable Battery Featuring Low Self‐Discharge

2022· article· en· W4293067442 on OpenAlexafffund
Yijia Wang, Kok Long Ng, Gisele Azimi

Bibliographic record

VenueBatteries & Supercaps · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsCathodeAnodeBattery (electricity)Intercalation (chemistry)ElectrodePlateau (mathematics)Materials scienceOrganic radical batteryAluminiumEnergy storageVoltageChemical engineeringCell voltageInternal resistanceNanotechnologyChemistryInorganic chemistryElectrochemistryComposite materialPhysical chemistryElectrical engineeringThermodynamics

Abstract

fetched live from OpenAlex

Abstract The achievable cell‐level specific energy density of existing aluminum‐ion batteries (AIBs) employing AlCl 4 − intercalation type cathodes is intrinsically limited by the chloroaluminate anolyte. Towards achieving AIBs with higher specific energy, it is imperative to explore alternative cell chemistries that fundamentally tap the capacity of Al metal anode. Here, we report a benzo[1,2‐b:4,5‐b’]dithiophene‐4,8‐dione (BDTD) organic electrode material with favorable AlCl 2 + intercalation mechanism. This BDTD cathode delivers a specific capacity of 143 mAh g −1 , and the resulting battery exhibits a well‐defined voltage plateau at ∼1.2 V. This characteristic voltage plateau is mainly driven by the predominant diffusive charge storage in BDTD cathode, which accounts for up to 85 % of the total charge‐storage contribution. As a result, the BDTD cathode demonstrates exceptional self‐discharging resistance by recovering >95 % of its capacity upon 24‐h resting.

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)0.001
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 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 score0.143
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.001

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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 teacher head, not a consensus.

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

Citations5
Published2022
Admission routes2
Has abstractyes

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