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Record W4406068080 · doi:10.1002/inf2.12650

Interface engineering of inorganic solid‐state lithium batteries via atomic and molecular layer deposition

2025· article· en· W4406068080 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInfoMat · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsÉcole de Technologie SupérieureInstitut National de la Recherche Scientifique
FundersFonds de recherche du Québec – Nature et technologiesCentre québécois sur les matériaux fonctionnelsNatural Sciences and Engineering Research Council of CanadaÉcole de technologie supérieure
KeywordsAtomic layer depositionNanotechnologyInterface (matter)ElectrolyteLithium (medication)Materials scienceElectrochemistryDeposition (geology)CathodeLimitingElectrodeAnodeComputer scienceLayer (electronics)ChemistryElectrical engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Currently, conventional organic liquid electrolytes (OLEs) are the main limiting factor for the next generation of high‐energy lithium batteries. There is growing interest in inorganic solid‐state electrolytes (ISEs). However, ISEs still face various challenges in practical applications, particularly at the interface between ISE and the electrode, which significantly affects the performance of solid‐state batteries (SSBs). In recent decades, atomic and molecular layer deposition (ALD and MLD) techniques, widely used to manipulate interface properties and construct novel electrode structures, have emerged as promising strategies to address the interface challenges faced by ISEs. This review focuses on the latest developments and applications of ALD/MLD technology in SSBs, including interface modification of cathodes and lithium metal anodes. From the perspective of interface strategy mechanism, we present experimental progress and computational simulations related to interface chemistry and electrochemical stability in thermodynamic contents. In addition, this article explores the future direction and prospects for ALD/MLD in dynamic stability engineering of interfaces SSBs. image

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 score0.175
Threshold uncertainty score0.624

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 head0.004
GPT teacher head0.222
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