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Record W4399084304 · doi:10.1021/acs.cgd.4c00089

Synthesis, Crystal Structure, and Magnetism in Fluoride Sulfates, A<sub>2</sub>VF<sub>3</sub>(SO<sub>4</sub>) (A = K, Rb, Cs)

2024· article· en· W4399084304 on OpenAlexafffund
Yanling Jin, Suheon Lee, Xinan Zhang, Dan Chen, Wenxuan Zhu, Yaping Li, Qingqing Huang, Eundeok Mun, Kwang‐Yong Choi, Minfeng Lü

Bibliographic record

VenueCrystal Growth & Design · 2024
Typearticle
Languageen
FieldChemistry
TopicInorganic Fluorides and Related Compounds
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCanada Research ChairsCanada Foundation for Innovation
KeywordsMagnetismCrystal structureFluorideCrystallographyChemistryX-ray crystallographyMagnetic susceptibilityInorganic compoundMaterials scienceInorganic chemistryMineralogyPhysicsCondensed matter physicsDiffractionOptics

Abstract

fetched live from OpenAlex

Three novel alkali metal vanadium(III) fluoride sulfates, A 2 VF 3 (SO 4 ) (A = K, Rb, Cs), were prepared through hydrothermal redox reactions. The products were isostructural with previously reported K 2 MnF 3 (SeO 4 ) and featured one-dimensional chains of trans -VF 4 O 2 octahedra that were connected by μ2-bridging oxygen atoms with SO 4 units. In the title compounds, spin chains of V 3+ ( S = 1) with trans V–F–V bridges were arranged in a two-dimensional rectangular lattice. DC magnetization showed unpredictable ferromagnetic-like ordering at ∼0.6 K, accompanied by a weak hysteresis curve. At high temperatures, the dominant magnetic interactions were found to be antiferromagnetic, as deduced from the negative values of the Curie–Weiss temperature.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.007
GPT teacher head0.192
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2024
Admission routes2
Has abstractyes

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