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Record W4309819108 · doi:10.1149/ma2022-0272511mtgabs

(Digital Presentation) Aqueous Zn Batteries and Capacitors Working Under Extreme Conditions

2022· article· en· W4309819108 on OpenAlexaff
Xiaolei Wang

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectrolyteMaterials scienceSupercapacitorFaraday efficiencyChemical engineeringAnodeAqueous solutionEnergy storageHeteroatomPolymerCapacitanceElectrodeComposite materialChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Aqueous zinc-based energy storage devices hold great promise for grid-level energy storage yet are challenged by dendritic growth and low Coulombic efficiency under both normal and extreme conditions. In the past years, we have developed Zn batteries and capacitors working under extreme conditions through engineering electrode, electrolyte, and binder. The first project is the development of Zn-free polymer anode that enables ultrafast rates (100 A g -1 ), ultralong life (1 million cycles), and ultrahigh-loadings (50 mg cm -2 ) through DFT calculation, polymer preparation, and electrolyte optimization. The optimal polymer possesses suitable electronic structure and a large π-conjugated structure and its storage mechanism involves reversible Zn 2+ /proton co-storage at the carbonyl site. The polymer-based full cells demonstrate ultrahigh power densities and ultralong lifespans, far surpassing those of corresponding Zn-metal-based devices. The second project is the making of ultrafast, stable, high-loading and wide-temperature zinc ion supercapacitors through the incorporation of activated carbon (AC), aqueous binder, and concentrated electrolyte. AC exhibits large surface area, hierarchical porous structures, and abundant heteroatom dopants, aqueous binder enhances electrode-electrolyte wettability enabling high-mass-loading electrode, and concentrated electrolyte gives high Zn stripping/plating efficiency, high ionic conductivity as well as suppressed hydrogen bonding interaction in water realizing ultralow frozen temperature. Three keys combined unlock unprecedented ZICs with a large capacitance of 436 F g −1 (capacity: 200 mAh g −1 ), ultrahigh rate up to 200 Ag −1 , ultralong cycles (0.3 million), ultrahigh loadings (10 mg cm −2 ) under lean electrolyte (8.8 µL mg −1 ), and wide-temperature operation (-60∼60 °C), leading to a maximal energy density of 134.8 Wh kg −1 and power density of 118.4 kW kg −1 . A proton/Zn 2+ ion co-interaction mechanism was revealed in the AC electrode. With low cost and extreme functionalities, this work opens an avenue towards practical supercapacitors beyond normal conditions.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.684

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 head0.032
GPT teacher head0.259
Teacher spread0.226 · 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 designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

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