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Record W3037279968 · doi:10.1002/adma.202002403

Consolidating Lithiothermic‐Ready Transition Metals for Li<sub>2</sub>S‐Based Cathodes

2020· article· en· W3037279968 on OpenAlexafffund
Zhenyu Xing, Guoqiang Tan, Yifei Yuan, Bao Wang, Lu Ma, Jing Xie, Ze‐Sheng Li, Tianpin Wu, Yang Ren, Reza Shahbazian‐Yassar, Jun Lü, Xiulei Ji, Zhongwei Chen

Bibliographic record

VenueAdvanced Materials · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsUniversity of Waterloo
FundersOffice of Energy EfficiencyNatural Sciences and Engineering Research Council of CanadaBasic Energy SciencesDivision of Chemical, Bioengineering, Environmental, and Transport SystemsOffice of ScienceNational Science FoundationBeijing Institute of TechnologyUniversity of WaterlooArgonne National LaboratoryOffice of Energy Efficiency and Renewable EnergyU.S. Department of EnergyUniversity of Chicago
KeywordsMaterials scienceCathodeTransition metalNanotechnologyEngineering physicsInorganic chemistryPhysical chemistryCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Li 2 S holds a promising role as a high‐capacity Li‐containing cathode, circumventing use of metallic lithium in constructing next‐generation batteries to replace current Li‐ion batteries. However, progress of Li 2 S cathode has been plagued by its intrinsic drawbacks, including high activation potentials, poor rate performance, and rapid capacity fading during long cycling. Herein, a series of Li 2 S/transition metal (TM) nanocomposites are synthesized via a lithiothermic reduction reaction, and it is realized that the presence of TMs in Li 2 S matrix can transform electrochemical behaviors of Li 2 S. On the one hand, the incorporation of W, Mo, or Ti greatly increases electronic and ionic conductivity of Li 2 S composites and inhibits the polysulfide dissolution via the TMS bond, effectively addressing the drawbacks of Li 2 S cathodes. In particular, Li 2 S/W and Li 2 S/Mo exhibit the highest ionic conductivity of solid‐phase Li‐ion conductors ever‐reported: 5.44 × 10 −2 and 3.62 × 10 −2 S m −1 , respectively. On the other hand, integrating Co, Mn, and Zn turns Li 2 S into a prelithiation agent, forming metal sulfides rather than S 8 after the full charge. These interesting findings may shed light on the design of Li 2 S‐based cathode materials.

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 score0.229
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 head0.025
GPT teacher head0.260
Teacher spread0.236 · 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

Citations94
Published2020
Admission routes2
Has abstractyes

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