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Record W4414394638 · doi:10.1002/cjoc.70275

π‐Conjugation Enhanced Crown Ether Charge‐Transfer Cocrystals for Near‐Infrared Photothermal Conversion <sup>†</sup>

2025· article· en· W4414394638 on OpenAlex
Weijie Zhu, Yujuan Zhou, Bohan Zhao, Xiaolong Deng, Errui Li, Ning Liu, Kecheng Jie

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChinese Journal of Chemistry · 2025
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsCrown etherPhotothermal therapySupramolecular chemistryLuminescenceEtherPhotoluminescencePhotothermal effect

Abstract

fetched live from OpenAlex

Comprehensive Summary Modulating the photophysical of organic solid‐state functional materials is crucial for advancing supramolecular chemistry and materials science. Here, we present a π‐conjugation enhanced charge‐transfer strategy to turn on the photothermal conversion properties of crown ether cocrystals. Three crown ethers ( H 1 , H 2 , and H 3 ) bearing different π‐conjugated moieties are synthesized, exhibiting enhanced solid‐state luminescence upon increasing molecular conjugation. In addition, three sets of host–guest cocrystals are constructed via charge‐transfer (CT) interactions between these electron‐rich crown ethers and electron‐deficient 1,2,4,5‐tetracyanobenzene ( TCNB ). Based on the variations in CT interactions, the resulting cocrystals transform from primarily photoluminescent behavior to efficient photothermal conversion. Detailed structural and spectroscopic analyses reveal that the extent of π‐donor/π‐acceptor overlap within the cocrystals is the dominant factor governing their tunable photophysical properties.

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.

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 categoriesInsufficient payload (model declined to judge)
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 score0.003
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.000

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 head0.006
GPT teacher head0.246
Teacher spread0.240 · 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