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Record W4415251997 · doi:10.1021/acs.chemmater.5c02244

Structural Evolution and Optical Tunability of Diamond-Like Semiconductors Li <sub>2</sub> Zn <sub> 1– <i>x</i> </sub> Cd <sub> <i>x</i> </sub> SnS <sub>4</sub> , Li <sub>2</sub> CdSn(S <sub> 1– <i>y</i> </sub> Se <sub> <i>y</i> </sub> ) <sub>4</sub> , and Li <sub>2</sub> ZnSn(S <sub> 1– <i>y</i> </sub> Se <sub> <i>y</i> </sub> ) <sub>4</sub>

2025· article· en· W4415251997 on OpenAlexafffund
Diganta Sarkar, Vidyanshu Mishra, Mengran Sun, Dundappa Mumbaraddi, Mohammed Jomaa, Vladimir K. Michaelis, Jiyong Yao, Arthur Mar

Bibliographic record

VenueChemistry of Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsUniversity of Alberta
FundersAlliance de recherche numérique du CanadaAlberta InnovatesCanada Research ChairsCanada First Research Excellence FundNatural Sciences and Engineering Research Council of CanadaGovernment of Alberta
KeywordsSecond-harmonic generationBand gapInfraredDiffractionSemiconductorLaserNonlinear opticalTransition metalElectronic band structureWavelength

Abstract

fetched live from OpenAlex

Lithium-containing chalcogenides with diamond-like structures are potential candidates for infrared nonlinear optical (NLO) materials because they provide high second harmonic generation (SHG) responses while maintaining large band gaps required for high laser-induced damage thresholds. To evaluate the effects of mixed cations and anions on these optical properties, the complete solid solutions Li 2 Zn 1– x Cd x SnS 4, Li 2 CdSn(S 1– y Se y ) 4, and Li 2 ZnSn(S 1– y Se y ) 4 were synthesized and structurally characterized by a combination of single-crystal X-ray diffraction and solid-state nuclear magnetic resonance spectroscopy. Li 2 Zn 1– x Cd x SnS 4 undergoes structural transitions from space group Pn to Pna 2 1 to Pmn 2 1 as Cd substitutes for Zn, associated with different arrangements of the metal atoms. Li 2 CdSn(S 1– y Se y ) 4 undergoes a structural transition from Pmn 2 1 to Pna 2 1 as Se substitutes for S. Li 2 ZnSn(S 1– y Se y ) 4 retains the Pn structure within its entire range. The band gaps are large and direct, remaining relatively constant at 3.0–3.3 eV in Li 2 Zn 1– x Cd x SnS 4 upon Cd substitution and decreasing to no lower than 2.0 eV in Li 2 CdSn(S 1– y Se y ) 4, and Li 2 ZnSn(S 1– y Se y ) 4 upon Se substitution. The majority of compounds evaluated show modest SHG responses (reaching a maximum of 0.4× AgGaS 2 ) and type-1 phase-matchable behavior at a laser wavelength of 2090 nm, but the trends are irregular. They melt congruently above 800 °C.

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)0.016
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.008
Meta-epidemiology (narrow)0.0260.030
Meta-epidemiology (broad)0.0260.011
Bibliometrics0.0080.016
Science and technology studies0.0070.016
Scholarly communication0.0060.014
Open science0.0150.013
Research integrity0.0190.019
Insufficient payload (model declined to judge)0.0000.002

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 head0.011
GPT teacher head0.215
Teacher spread0.205 · 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
Published2025
Admission routes2
Has abstractyes

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