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Record W2734652920 · doi:10.1149/ma2017-02/48/2081

Cobalt Complexes As Single Redox Molecules for Catholyte and Anolyte in Redox Batteries

2017· article· en· W2734652920 on OpenAlexaff
Georgios Nikiforidis, Chunzhen Yang, Yong Luo, Zhaomin Hou, Hye Ryung Byon

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsRedoxChemistryInorganic chemistryNon-innocent ligandElectrolyteCyclic voltammetryCobaltLigand (biochemistry)Half-reactionMoleculeElectrochemistryElectrodePhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

We herein present the design and realization of chelating ligands in modulating redox potentials of the central metal ion, offering a single redox molecule to both catholyte and anolyte applicable in the field of redox batteries. We demonstrated an increase in redox potentials from the bidentate and tridentate ligands that are coordinated with Co(II) forming pseudo-octahedral complexes. The cyclic voltammetry (CV) curves using a three-electrode cell show quasi-reversible behavior of the Co(I/II) and Co(II/III) redox couples in non-aqueous electrolyte solutions such as carbonate and glymes. Further, the potential of Co(II/III) is altered due to the electron deficiency of ligands. Amongst the ligands investigated, tridentate and the most electron deficient one provide the highest peak to peak voltage, equal to ~1.85 V. The single species of Co complex in the redox cells with 200 mM delivers ~22.3 mAh L -1 and ~98% capacity retention for 300 cycles at a current density of 0.2 mA cm -2 and 35ºC (Fig.1), yielding a volumetric energy density of 40.7 Wh L -1 . At a current density of 0.5 mA cm -2 Coulombic efficiency lingers at ~96% over 600 cycles, demonstrating a promising redox cell with long-term cycling stability. The ligand design associated redox-reaction process and the stability of Co complex for galvanostatic cycling would be further discussed in the presentation. 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 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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.052
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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 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
Published2017
Admission routes1
Has abstractyes

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