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Record W4417010105 · doi:10.1021/jacs.5c17809

Unlocking Multielectron Transfer in a Quinone–Pyrazine Conjoined Redox Core for Capacity-Doubled and Ultrastable Aqueous Organic Redox Flow Batteries

2025· article· en· W4417010105 on OpenAlexaff
Pengbo Zhang, Yongkang Chen, Yuzhu Liu, Jie Wei, Zuoao Wu, Binze Yang, Guochun Ding, Sheng Wen, Tengfei Dai, Zhihu You, Zuoxiu Tie, Yichao Yan, Zhong Jin

Bibliographic record

VenueJournal of the American Chemical Society · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsMinistry of Education and Child Care
FundersJiangsu Science and Technology DepartmentNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsRedoxConjugated systemAqueous solutionDegradation (telecommunications)Energy storageAromaticityMoleculeFlow (mathematics)

Abstract

fetched live from OpenAlex

Aqueous organic redox flow batteries (AORFBs) face energy density and stability challenges. We introduce DAPQ, an anthraquinone–phenazine fused molecule with a π-conjugated architecture enabling four-electron storage. The rigid fused-ring structure integrates four redox-active sites, enhancing aromaticity to resist degradation while achieving reversible multielectron transfer and superior volumetric capacity. The 0.6 M DAPQ-based AORFB delivers an exceptionally high energy density of 53.59 Wh L –1 (53.48 Ah L –1 ), and the 0.5 M DAPQ-based AORFB delivers a capacity retention of 99.86% over 2,300 cycles (1991 h), showing merely 0.0017% daily decay. Stable operation persists even at 50 °C, confirming conjugated rigidity’s critical role in redox core stabilization and longevity. Mechanistic studies reveal that extended π-conjugation and balanced charge distribution synergistically inhibit parasitic reactions. This conjugation-driven multielectron design establishes a paradigm for developing high-capacity, durable organic charge carriers, advancing scalable, safe, and sustainable grid-scale energy storage solutions.

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 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 score0.017
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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.

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

Citations9
Published2025
Admission routes1
Has abstractyes

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