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Record W4405618723 · doi:10.1007/s12598-024-03109-6

Structural regulation of electrocatalysts for room‐temperature sodium–sulfur batteries

2024· article· en· W4405618723 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRare Metals · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsWestern University
FundersNational Natural Science Foundation of China
KeywordsCatalysisEnergy storageMaterials scienceNanotechnologySulfurAdsorptionRedoxChemical engineeringBiochemical engineeringChemistryEngineeringOrganic chemistryMetallurgyThermodynamics

Abstract

fetched live from OpenAlex

Abstract Room‐temperature sodium–sulfur (RT Na–S) batteries have been regarded as promising energy storage technologies in grid‐scale stationary energy storage systems due to their low cost, natural abundance, and high‐energy density. However, the practical application of RT Na–S batteries is hindered by low reversible capacity and unsatisfying long‐cycling performance arising from the severe shuttle effect and sluggish S redox kinetics. This review provides an overview of recent efforts for the optimization strategies of the electronic structure of catalysts via catalyst engineering to enhance the adsorption and catalytic activity toward soluble long‐chain sodium polysulfides (NaPSs). Finally, the current challenges and prospects for further optimization strategies of catalysts, understanding catalysis and structural evolution mechanism, and achieving practical applications are highlighted to meet the commercial requirements of RT Na–S batteries.

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.

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)0.000
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 score0.007
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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