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Record W4391136009 · doi:10.1021/acsenergylett.3c02551

Lowered Activation Potential of Lithium Sulfide Cathode Material Aided by Electrolyte Additive

2024· article· en· W4391136009 on OpenAlex
Weifeng Li, Qi Huang, Zhaoqiang Li, Yang Wang, Siu Wing Or, Shuhui Sun, Zhenyu Xing

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

VenueACS Energy Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceMinistry of Human Resources and Social SecurityNational Natural Science Foundation of China
KeywordsElectrolyteCathodeLithium (medication)SulfideMaterials scienceInorganic chemistryChemistryChemical engineeringMetallurgyPhysical chemistryElectrodeMedicineEngineering

Abstract

fetched live from OpenAlex

High activation potential and poor electronic/ionic conductivity greatly hinder the practical application of Li 2 S as the cathode material in lithium-ion sulfur batteries. Introducing electrolyte additives is one of the most promising strategies to address these challenges. Appropriate electrolyte additives not only lower the activation potential of Li 2 S but also promote the rate capability and cycling performance. In this Perspective, recent research progress on using electrolyte additives to reduce the activation potential of Li 2 S is reviewed, and future possibilities are proposed.

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 score0.046
Threshold uncertainty score0.683

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 head0.003
GPT teacher head0.178
Teacher spread0.176 · 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