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Record W4410094636 · doi:10.26434/chemrxiv-2025-zz9t7

4,4’-Hydrazobis(1-Methylpyridinium) as a 2-Electron Posolyte Molecule for Aqueous Organic Redox Flow Batter-ies

2025· preprint· en· W4410094636 on OpenAlexafffund
H. Lebel, Dominic Rochefort, Calvine Lai, Thomas Boulanger, Alizée Débiais, Louis Hamlet, Meysam Maleki, Marc‐Antoni Goulet

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsConcordia UniversityUniversité de Montréal
FundersFonds de recherche du Québec – Nature et technologiesCourtois FoundationUniversité de MontréalConcordia UniversityCentre in Green Chemistry and Catalysis
KeywordsRedoxAqueous solutionChemistryElectronFlow (mathematics)MoleculeOrganic moleculesElectron flowInorganic chemistryOrganic chemistryPhysicsBiochemistryQuantum mechanics

Abstract

fetched live from OpenAlex

Aqueous organic redox flow batteries (AORFBs) are a safe and sustainable solution for the storage of intermittent renewable energy. While several highly soluble 2-electron organic molecule negolytes have been developed for AORFBs, most reported organic posolyte species exchange only 1 electron. Herein, readily available 4,4'-hydrazobis(1-methylpyridinium) dichloride (HydBPyMeCl) is described as a novel 2-electron posolyte molecule for AORFBs. The synthesis of HydBPyMeCl was accomplished by a three-step process, yielding multiple grams of the com-pound. HydBPyMeCl exhibited a reversible 2-electron redox potential (+0.64 V vs. Ag/AgCl reference electrode, pH = 0). When evaluated at 1 M concentration and low pH (2 M HCl) with V3+/V2+ on the negative side, HydBPyMeCl showed high stability. A capacity retention of 99.997% per cycle (99.986% per day measured over 70 days) was achieved, coupled with a high volumetric specific capacity of 46 Ah/L (87.2% of capacity utilization at 80 mA/cm2)

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.258
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes2
Has abstractyes

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