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Record W3112830488 · doi:10.1002/ente.202000700

The Insights of Lithium Metal Plating/Stripping in Porous Hosts: Progress and Perspectives

2020· article· en· W3112830488 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

VenueEnergy Technology · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsAnodeStripping (fiber)Materials sciencePlating (geology)Faraday efficiencyElectrolyteMetalLithium (medication)PorosityComposite numberTortuosityChemical engineeringLithium metalComposite materialMetallurgyChemistryElectrode

Abstract

fetched live from OpenAlex

Lithium (Li) metal is strongly regarded as a promising anode for next‐generation secondary batteries. However, the nonuniform plating/stripping and volume fluctuation of the Li metal anode give rise to low Coulombic efficiency and short lifespan of Li metal batteries, which hinder practical applications of the Li metal anode. A composite Li metal anode that employs a stable porous host has been proposed as a promising strategy to regulate the behaviors of Li plating/stripping and relieve volume fluctuation. In a porous host, the basic building block is a pore. The pore structure affects the distribution of electric and Li‐ion concentration fields during Li plating/stripping, thus regulating Li plating/stripping and the lifespan of the composite Li metal anode. Therefore, herein, the recent progress in investigating the behavior of Li plating/stripping in a pore based on liquid electrolytes is summarized from the aspects of pore diameter, depth, and tortuosity. Furthermore, the perspectives of rational design of the pore structure for a composite Li metal anode are presented to promote the development of Li metal anodes.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.333

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 head0.192
Teacher spread0.184 · 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