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Record W2609991212 · doi:10.1149/ma2017-01/3/250

Atomistic Understanding of the Difference in Ionic Conduction Between the Alpha and Alpha' Phases of Nasicon LiZr<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>

2017· article· en· W2609991212 on OpenAlexaff
Gil Vander Marcken, Anna Miglio, Mickaël Dollé, Geoffroy Hautier, Gian‐Marco Rignanese

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFast ion conductorElectrolyteIonic conductivityConductivityLithium (medication)Chemical physicsPhase (matter)Ab initioMaterials scienceIonic bondingChemistryThermal stabilityIonCrystallographyThermodynamicsPhysical chemistryElectrodeOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Lithium-ion batteries presents safety hazards due to their electrolyte. The electrolyte is typically an organic flammable liquid, and their proximity to an oxidizing agent can lead to thermal runaway and explosion in extreme cases. To overcome those inconveniences, the use of solid state electrolyte has been suggested. They are inflammable and exhibit a higher stability. However, their low ionic conductivity (less than 10^-4 S cm-1) hindered so far their use in commercial batteries. LiZr2(PO4)3 in the NASICON structure is a promising solid state electrolyte with attractive Li-ion conductivity of 10^-5 S cm-1 and stability. This compound undergoes a reversible phase transition from a triclinic structure (called alpha') to a rhomboedral one (alpha phase) at 330K. It is experimentally known that the conductivity of the alpha' phase is three orders of magnitude lower than the estimated conductivity of the rhomboedral phase at room temperature. It is however not clear yet to what atomistic mechanism could explain this large difference between two very close structures: the alpha and alpha’ phases. In this work, we have performed an ab initio study of Li diffusion in both alpha and alpha’ phases using ab initio molecular dynamics and nudge elastic band. Based on this computational insight, we identify the differences and similarity between the two phases and shine light on the reason for the higher performance of the alpha phase.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.242
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2017
Admission routes1
Has abstractyes

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