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Record W4409246278 · doi:10.1021/acs.inorgchem.5c01063

Sb<sub>2</sub>(TeO<sub>4</sub>)(SO<sub>4</sub>): An Anhydrous Tellurite Sulfate with Large Birefringence and Enhanced Thermal Stability

2025· article· en· W4409246278 on OpenAlexaff
Kai Huang, Hui‐Yan Zhao, Chao He, Xing‐Tao An, Qi Wei, Guo‐Yu Yang

Bibliographic record

VenueInorganic Chemistry · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCrystal Structures and Properties
Canadian institutionsInnovation Cluster (Canada)
FundersNatural Science Foundation of Hebei ProvinceDepartment of Education of Hebei ProvinceNational Natural Science Foundation of China
KeywordsChemistryAnhydrousThermal stabilityBirefringenceSulfateThermalInorganic chemistryPhysical chemistryAnalytical Chemistry (journal)OpticsThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

The birefringence of birefringent materials is positively correlated with structural anisotropy. By introducing 5 s 2 -electron-containing Sb 3+ and Te 4+ cations into a sulfate system, the anhydrous antimony tellurite sulfate Sb 2 (TeO 4 )(SO 4 ) was obtained. Due to the stereochemically active lone pairs (SCALPs), both Sb 3+ and Te 4+ cations are four-coordinated with O atoms to form the distorted seesaw-shaped units. Benefiting from the strong polarizability anisotropy of the distorted polyhedra, Sb 2 (TeO 4 )(SO 4 ) exhibits a large birefringence, as well as wide transparency range and high thermal stability, making the compound a potential UV birefringent material. Structural and theoretical calculations indicate that the optical properties mainly originate from the highly distorted SO 4 and TeO 4 units and their uniform alignment. This work will provide some useful insights into the development of SCALP-cation-based birefringent crystals.

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 head0.005
GPT teacher head0.198
Teacher spread0.192 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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