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Record W2340829344 · doi:10.1149/07212.0023ecst

Solar Rechargeable Redox Battery Based on Polysulfide Electrochemistry

2016· article· en· W2340829344 on OpenAlexaff
Mohammad Ali Mahmoudzadeh, Ashwin R Usagocar, Joseph De Giorgio, Gordon G. Wallace, John D. W. Madden

Bibliographic record

VenueECS Transactions · 2016
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFlow batteryRedoxBattery (electricity)PolysulfideEnergy storageMaterials scienceAnodeElectrochemistryOrganic radical batterySolar energyPhotovoltaic systemElectrodeNanotechnologyChemistryElectrical engineeringMetallurgyEngineeringElectrolyte

Abstract

fetched live from OpenAlex

A solar rechargeable redox flow battery is presented with the highest reported volumetric and areal energy density for an integrated solar energy harvesting and storage device. These features are demonstrated in a scalable solar rechargeable redox flow battery with iodide/polysulfide as the pair of active materials, nickel foam and platinum mesh permeable porous electrodes and a dye sensitized photoelectrode. The flow rate acts as a controlling mechanism for optimal performance of the device. A charge capacity of 4.17 Ah L-1 together with an energy density of 2.1 Wh L-1 are achieved, which are 6 times larger than previous reported solar redox flow battery chemistries. The solar rechargeable redox flow battery system offers a higher round-trip efficiency and potential cost savings on fabrication compared to coupled separate devices.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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