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Record W4408944732 · doi:10.26434/chemrxiv-2025-11lm0

Halogen-substituted Li3InCl6: Insights into the Evolved Structure, Composition, and Ionic Conductivity

2025· preprint· en· W4408944732 on OpenAlexaff
Trinanjan Dey, Fuwei Wen, Arthur Mar, Lingzi Sang

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldChemistry
TopicInorganic Chemistry and Materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHalogenIonic bondingComposition (language)Ionic conductivityChemistryMaterials sciencePhysical chemistryOrganic chemistryIonArtLiterature

Abstract

fetched live from OpenAlex

Ternary Li-containing halides have gained significant interest for all-solid-state batteries because they show high Li-ion conductivity, and their structures can be modified. In this study, halogen substitution in Li3InCl6 was attempted to form Li3InCl6–xXx (X = F, Br, I) samples whose phase compositions and Li+ conductivity were characterized by X-ray diffraction and impedance spectroscopy. Based on the evolution of cell parameters, Cl can be substituted completely by F within the experimental limit of x ≤ 1.2, while by other halogens up to a solid solubility limit of x = 0.6 for Br, and x <0.1 for I. The Li-ion conductivity diminished with greater nominal compositions of X in the samples, especially as other phases exhibiting low conductivity are formed. These results suggest that increased polarizability of X is not a dominant factor influencing Li+ mobility in Li3InCl6–xXx.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.239
Teacher spread0.225 · 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
Published2025
Admission routes1
Has abstractyes

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