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Record W4392192721 · doi:10.26434/chemrxiv-2024-n1qmz

Roadmap for the development of transition metal oxide cathodes for rechargeable zinc-ion batteries

2024· preprint· en· W4392192721 on OpenAlexafffund
Caio M. Miliante, Storm Gourley, Brian D. Adams, Drew Higgins, Oleg Rubel

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCathodeZincTransition metalNanotechnologyMaterials scienceOxideEngineering physicsMetallurgyChemistryEngineeringElectrical engineeringCatalysis

Abstract

fetched live from OpenAlex

Rechargeable zinc-ion batteries (RZIBs) are a promising multivalent battery technology for grid-scale energy storage applications, thanks to their abundant materials, lower environmental impact, and higher safety due to the use of aqueous electrolytes as compared to lithium-based batteries. However, there is still a lack of cathode materials with suitable stability and performance for reliable implementation in these energy storage applications. In this study, we have utilized readily available thermodynamic properties obtained from first-principle atomistic simulations to calculate the intercalation potential of zinc in numerous potential candidate cathode materials. We confined our chemical space to simple transition metal oxides (MxOy, where M is a transition metal). While some materials in this class were previously experimentally studied (e.g., MnO2, V2O5, MoO3), a literature survey revealed multiple oxides for which no prior investigation on their use as cathodes for RZIBs had been performed. We considered previously reported structures with similar atomic arrangements for the charged and discharged phases, the feasibility of experimental realization of the materials, the electrochemical stability of the charged cathode in an aqueous environment, and the potential degradation of aqueous electrolytes in our analysis. We mapped the zinc intercalation potential for over 50 redox pairs involving oxides of 12 different elements. These calculated theoretical potentials were then compared to previously obtained experimental results, with the relatively small difference between them (approximately 0.2 V) demonstrating the predictive capabilities of the utilized methodology. Previously overlooked materials with high intercalation potential (above 1.6 V vs Zn/Zn2+) were then proposed as cathode materials for RZIBs. The Zn2+ intercalation potential mapping for the oxide redox pairs achieved in this study provides a roadmap for future experimental investigations of novel cathode materials for RZIBs.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.003

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 head0.054
GPT teacher head0.305
Teacher spread0.251 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes2
Has abstractyes

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