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Record W4414565080 · doi:10.1002/smll.202508061

High‐Rate Rechargeable Li/SOCl <sub>2</sub> Batteries Enabled by Cobalt Phthalocyanine Cathodic Catalysts

2025· article· en· W4414565080 on OpenAlexaff
Yingxuan Song, Haibo Ouyang, Zhanwei Xu, Ze-Yang Zhang, Li Kang, Jianfeng Huang, Zhi Li, Tian Wang, Jun Yang

Bibliographic record

VenueSmall · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Alberta
FundersNatural Science Foundation of Shaanxi ProvinceNational Natural Science Foundation of China
KeywordsCatalysisOxidizing agentCathodeCurrent densityCobaltChlorideEnergy storagePhthalocyanineEnergy density

Abstract

fetched live from OpenAlex

Abstract Rechargeable lithium/thionyl chloride (Li/SOCl 2 ) batteries are considered promising alternatives to lithium‐ion batteries because of their ultrahigh energy density and wide operating temperature range. However, current rechargeable Li/SOCl 2 batteries exhibit unsatisfactory rate performance that originates from the poor reversibility of SOCl 2 and is dominated by the difficulty in oxidizing the discharge product lithium chloride (LiCl). In response to this issue, cobalt phthalocyanine (CoPc) is employed as a cathode catalyst to boost the oxidation kinetics of LiCl products and thus improve the reversibility of SOCl 2 in rechargeable Li/SOCl 2 batteries. The CoPc catalyst in the Li/SOCl 2 batteries is found to not only promote the discharge reduction of SOCl 2 but also remarkably accelerate the reversible charge transformation of LiCl products by lowering the chloride ions oxidation barrier. The CoPc‐catalyzed Li/SOCl 2 batteries deliver a high specific capacity of 800 mAh g −1 at a current density of 500 mA g −1 , with a stable voltage plateau of 3.5 V over 200 cycles. Even at the ultrahigh current density of 5 mA cm −2 , these batteries can still provide a reversible capacity of 1 mAh cm −2 over 250 cycles, demonstrating excellent rate performance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.041
Threshold uncertainty score1.000

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 head0.009
GPT teacher head0.212
Teacher spread0.204 · 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

Citations6
Published2025
Admission routes1
Has abstractyes

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