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Record W4391640370 · doi:10.1149/ma2023-0216mtgabs

Solid-State Redox-Active Pseudocapacitor with Improved Performance at High Temperature

2023· article· en· W4391640370 on OpenAlexaff
Sima Lashkari, Daniela de Morais Zanata, Nicolas Goujon, Ousmane Camara, David Mecerreyes, Irune Villaluenga

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldMaterials Science
TopicSupercapacitor Materials and Fabrication
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPseudocapacitorRedoxSolid-stateMaterials scienceState (computer science)ChemistryComputer scienceInorganic chemistryElectrochemistryElectrodeSupercapacitorPhysical chemistryAlgorithm

Abstract

fetched live from OpenAlex

With the emergence of environmental issues such as global warming as well as our new demand for efficient energy storage systems (EES) that can power portable electronics; batteries and supercapacitors are gaining more attention in the latest literature. Batteries can provide high energy density and lower power densities (e.g. for LIB, 1kW.kg-1 vs. 150-200 Wh.kg-1), while supercapacitors are high power devices with low energy densities (e.g. for most commercial devices ⁓ 10 kW.kg-1 vs. 5-10 Wh.kg-1). In order to couple high energy and high power densities of both devices, pseudocapacitance was introduced in 1991 by Conway 1 using metal oxide. Pseudocapacitance is a fast and reversible surface faradaic process with performance similar to double layer capacitors but higher energy densities closer to that of batteries. Aside from metal oxides, conductive polymers also demonstrate pseudocapacitance. In this regards, the use of conductive polymers as nontoxic, abundant, low cost and sustainable organic material is on the rise. Nevertheless, the inherent issue related to instability of the conductive polymer especially at high degree of oxidation had restricted their application in EES. However, redox active polymers (RAPs) with non-conjugated backbone and redox active pendant group demonstrates improved performance and structural diversity with more distinct redox potentials. 2 Amongst them, quinone-containing polymers with their high theoretical capacities, facile kinetics and tunable redox potential are at the top of the list. Particularly, catechol, a bioinspired ortho-quinone based polymer has gain popularity following a work by Detrembleur et al. 3 However; the solubility of the organic materials in organic solvents hinders their application in EES. To this end, using solid-state electrolyte can help alleviate the issue. Nevertheless, solid-state design stimulate sluggish kinetics and reduce electrode/electrolyte interfacial area, a component required to achieve high pseudocapacitance. Consequently, nano-structuring the redox polymer can help improve the contact resistance as well as increasing the surface area. In addition, the nanoparticles structure will promote more distinct redox processes. 4 In this study, we demonstrate for the first time, a prototype pouch cell based on all-solid-state organic hybrid supercapacitor bearing catechol redox active moieties. Using emulsion polymerization, catechol based RAP nanoparticles of size ranging from 50 to 150 nm were synthesized 4 and together with activated carbon was used as working electrode. Block-co-polymers based solid electrolyte was employed as electrolyte as well as binder for both cathode and anode. Using this design, discharge capacities of ⁓ 10 and 60 mAh/g at room temperature and at 50 °C were obtained, respectively. References: (1) Conway, B. E. Transition from “Supercapacitor” to “Battery” Behavior in Electrochemical Energy Storage. J. Electrochem. Soc. 1991, 138 (6), 1539. https://doi.org/10.1149/1.2085829. (2) Casado, N.; Mecerreyes, D. Redox Polymers for Energy and Nanomedicine; Royal Society of Chemistry, 2020. (3) Patil, N.; Aqil, M.; Aqil, A.; Ouhib, F.; Marcilla, R.; Minoia, A.; Lazzaroni, R.; Jérôme, C.; Detrembleur, C. Integration of Redox-Active Catechol Pendants into Poly(Ionic Liquid) for the Design of High-Performance Lithium-Ion Battery Cathodes. Chem. Mater. 2018, 30 (17), 5831–5835. https://doi.org/10.1021/acs.chemmater.8b02307. (4) Gallastegui, A.; Camara, O.; Minudri, D.; Goujon, N.; Patil, N.; Ruipérez, F.; Marcilla, R.; Mecerreyes, D. Aging Effect of Catechol Redox Polymer Nanoparticles for Hybrid Supercapacitors. Batter. Supercaps 2022, 5 (9), e202200155. https://doi.org/10.1002/batt.202200155.

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)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.237
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 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
Published2023
Admission routes1
Has abstractyes

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