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Record W4285397666 · doi:10.1149/ma2022-012217mtgabs

Azo-Integrated Covalent Organic Frameworks As Electrodes for Lithium-Ion Batteries

2022· article· en· W4285397666 on OpenAlexaff
Vikram Singh, Jaewook Kim, Bora Kang, Joonhee Moon, Sujung Kim, Woo Youn Kim, Hye Ryung Byon

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldMaterials Science
TopicCovalent Organic Framework Applications
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsElectrolyteDielectric spectroscopyLithium (medication)RedoxCovalent bondChemistryThiazoleImineElectrochemistryCovalent organic frameworkRaman spectroscopyChemical engineeringMaterials scienceThioamideMesoporous materialElectrodeInorganic chemistryOrganic chemistryPhysical chemistryCatalysis

Abstract

fetched live from OpenAlex

Covalent Organic Frameworks (COFs) are two-dimensional, porous, and crystalline organic structures. The well-established frameworks provide ordered mesopores, structural stability, high density, and negligible solubility, which are particularly attractive for battery electrodes. By integrating a redox-active azo group to COFs, we designed positive organic electrodes and applied these electrodes for nonaqueous Li-ion batteries. The azo group can undergo two electrons transfer, whereas its reversibility and stability are highly dependent on adjacent functional groups [1,2]. We developed three azo-integrated COFs with three different linkages, -ketoenamine, imine, and thiazole-fused ring. These azo-COFs had identical hexagonal P6/m space groups, ~3 nm of pore size, and 600~1000 m2 g–1 of surface area. However, the redox chemistries of azo groups were remarkably distinct from the linkages. The-ketoenamine and imine based azo-COFs showed irreversible azo reactions, resulting in poor capacity retention. In contrast, the fully conjugated COF containing the thiazole-fused ring rendered excellent cycling stability showing 5000 cycles at 10 C. The reversible azo reaction was also demonstrated by using operando Raman spectroscopy. This result corresponded to the single and sharp redox wave at a formal potential of ~1.7 V vs. Li/Li+, suggesting the one-step two electrons transfer. The solid electrolyte interphase (SEI) was formed at the initial cycles only, which could protect the COF surface and inhibit the continuous decomposition of the electrolyte solution. Electrochemical impedance spectroscopy (EIS) revealed the low charge transfer resistance (~18 Ω), which decreased further after 20 cycles (~6 Ω). The mass transport region in the EIS curve was retained, indicating the access of Li+ to the bulk COF structure through mesopores for cycling. In the presentation, I will discuss the details of COF designs and the role of linkages enhancing the reversible and stable redox reactions in Li-ion cells. References: [1] Luo, C., Borodin, O., Ji, X., Hou, S., Gaskell, K.J., Fan, X., Chen, J., Deng, T., Wang, R., Jiang, J. and Wang, C. PNAS, 2018, 115, 2004-2009. [2] Luo, C., Xu, G.L., Ji, X., Hou, S., Chen, L., Wang, F., Jiang, J., Chen, Z., Ren, Y., Amine, K. and Wang, C., Angew. Chem. Intl. Edn. 2018, 57, 2879-2883. Figure 1

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 score0.004

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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