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Record W3164354100 · doi:10.1002/adfm.202102765

Enabling High‐Performance NASICON‐Based Solid‐State Lithium Metal Batteries Towards Practical Conditions

2021· article· en· W3164354100 on OpenAlexafffund
Andrea Paolella, Xiang Liu, Amine Daali, Wenqian Xu, Inhui Hwang, Sylvio Savoie, Gabriel Girard, Alina Gheorghe Nita, Alexis Péréa, Hendrix Demers, Wen Zhu, Abdelbast Guerfi, Ashok K. Vijh, Giovanni Bertoni, Gian Carlo Gazzadi, G. Berti, Cheng‐Jun Sun, Yang Ren, Karim Zaghib, Michel Armand, Chisu Kim, Gui‐Liang Xu, Khalil Amine

Bibliographic record

VenueAdvanced Functional Materials · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMcGill UniversityInstitut National de la Recherche ScientifiqueHydro-Québec
FundersArgonne National LaboratoryVehicle Technologies OfficeOffice of ScienceHydro-QuébecU.S. Department of Energy
KeywordsMaterials scienceElectrolyteLithium (medication)CathodeFast ion conductorLithium metalChemical engineeringAnodeIonic conductivityMetalConductivitySynchrotronElectrodeMetallurgyPhysical chemistryOptics

Abstract

fetched live from OpenAlex

Abstract Solid‐state lithium metal batteries (SSLMBs) are promising next‐generation high‐energy rechargeable batteries. However, the practical energy densities of the reported SSLMBs have been significantly overstated due to the use of thick solid‐state electrolytes, thick lithium (Li) anodes, and thin cathodes. Here, a high‐performance NASICON‐based SSLMB using a thin (60 µm) Li 1.5 Al 0.5 Ge 1.5 (PO 4 ) 3 (LAGP) electrolyte, ultrathin (36 µm) Li metal, and high‐loading (8 mg cm −2 ) LiFePO 4 (LFP) cathode is reported. The thin and dense LAGP electrolyte prepared by hot‐pressing exhibits a high Li ionic conductivity of 1 × 10 −3 S cm −1 at 80 °C. The assembled SSLMB can thus deliver an increased areal capacity of ≈1 mAh cm −2 at C/5 with a high capacity retention of ≈96% after 50 cycles under 80 °C. Furthermore, it is revealed by synchrotron X‐ray absorption spectroscopy and in situ high‐energy X‐ray diffraction that the side reactions between LAGP electrolyte and LFP cathode are significantly suppressed, while rational surface protection is required for Ni‐rich layered cathodes. This study provides valuable insights and guidelines for the development of high‐energy SSLMBs towards practical conditions.

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), Insufficient payload (model declined to judge)
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 score0.058
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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.022
GPT teacher head0.275
Teacher spread0.252 · 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

Citations56
Published2021
Admission routes2
Has abstractyes

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