MétaCan
Menu
Back to cohort
Record W4399012883 · doi:10.1002/smll.202401892

Incorporating Sodium‐Conductive Polymeric Interfacial Adhesive with Inorganic Solid‐State Electrolytes for Quasi‐Solid‐State Sodium Metal Batteries

2024· article· en· W4399012883 on OpenAlexafffund
Shihui Gao, Tingzhou Yang, Jiabing Liu, Xinyu Zhang, Xiaoyi Zhang, Tai Yang, Yongguang Zhang, Zhongwei Chen

Bibliographic record

VenueSmall · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of Waterloo
FundersSuzhou Institute of Nanotechnology, Chinese Academy of SciencesNatural Sciences and Engineering Research Council of CanadaMitacsUniversity of WaterlooNatural Science Foundation of Hebei ProvinceNatural Science Foundation of Guangdong ProvinceCanadian Light Source
KeywordsMaterials scienceElectrolyteAnodeFast ion conductorAdhesiveCathodeChemical engineeringQuasi-solidElectrodeNanotechnologyElectrical conductorEnergy storageComposite materialLayer (electronics)Chemistry

Abstract

fetched live from OpenAlex

Abstract Inorganic solid‐state electrolytes have attracted enormous attention due to their potential safety, increased energy density, and long cycle‐life benefits. However, their application in solid‐state batteries is limited by unstable electrode‐electrolyte interface, poor point‐to‐point physical contact, and low utilization of metallic anodes. Herein, interfacial engineering based on sodium (Na)‐conductive polymeric solid‐state interfacial adhesive is studied to improve interface stability and optimize physical contacts, constructing a robust organic‐rich solid electrolyte interphase layer to prevent dendrite‐induced crack propagation and security issues. The interfacial adhesive strategy significantly increases the room‐temperature critical current density of inorganic Na‐ion conductors from 0.8 to 3.2 mA cm −2 and markedly enhances the cycling performance of solid‐state batteries up to 500 cycles, respectively. Particularly, the Na 3 V 2 (PO 4 ) 3 ‐based full solid‐state batteries with high cathode loading of 10.16 mg cm −2 also deliver an excellent cycling performance, further realizing the stable operation of solid‐state laminated pouch cells. The research provides fundamental perspectives into the role of interfacial chemistry and takes the field a step closer to realizing practical solid‐state 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.228
Teacher spread0.216 · 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.

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

Citations11
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueSmallSame topicAdvanced Battery Materials and TechnologiesFrench-language works237,207