MétaCan
Menu
Back to cohort
Record W4224262820 · doi:10.1002/adma.202200856

Highly Stable Halide‐Electrolyte‐Based All‐Solid‐State Li–Se Batteries

2022· article· en· W4224262820 on OpenAlexafffund
Xiaona Li, Jianwen Liang, Jung Tae Kim, Jiamin Fu, Hui Duan, Ning Chen, Ruying Li, Shangqian Zhao, Jiantao Wang, Huan Huang, Xueliang Sun

Bibliographic record

VenueAdvanced Materials · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsCanadian Light Source (Canada)Western University
FundersNatural Sciences and Engineering Research Council of CanadaGLABAT Solid-State BatteryWestern UniversityCanada Foundation for Innovation
KeywordsElectrolyteMaterials scienceElectrochemistryBattery (electricity)Electrochemical windowHalideCathodeFast ion conductorIonic conductivityChemical engineeringChemical stabilityEnergy storageInorganic chemistryElectrodePhysical chemistryThermodynamicsChemistry

Abstract

fetched live from OpenAlex

Abstract Solid‐state Li–S and Li–Se batteries are promising devices that can address the safety and electrochemical stability issues that arise from liquid‐based systems. However, solid‐state Li–Se/S batteries usually present poor cycling stability due to the high resistance interfaces and decomposition of solid electrolytes caused by their narrow electrochemical stability windows. Here, an integrated solid‐state Li–Se battery based on a halide Li 3 HoCl 6 solid electrolyte with high ionic conductivity is presented. The intrinsic wide electrochemical stability window of the Li 3 HoCl 6 and its stability toward Se and the lithiated species effectively inhibit degeneration of the electrolyte and the Se cathode by suppressing side reactions. The inherent thermodynamic mechanism of the lithiation/delithiation process of the Se cathode in solid is also revealed and confirmed by theoretical calculations. The battery achieves a reversible capacity of 402 mAh g −1 after 750 cycles. The electrochemical performance, thermodynamic lithiation/delithiation mechanism, and stability of metal‐halide‐based Li–Se batteries confer theoretical study and practical applicability that extends to other energy‐storage systems.

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 score0.005

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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".

Quick stats

Citations138
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueAdvanced MaterialsSame topicAdvanced Battery Materials and TechnologiesFrench-language works237,207