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Record W4406760924 · doi:10.1002/anie.202500022

Forward‐ and Retro‐Vapofluorochromism of Sponge‐Like Macrocycle Crystals

2025· article· en· W4406760924 on OpenAlexaff
Jingwei Huang, Haohui Feng, Linnan Zhang, Kecheng Jie

Bibliographic record

VenueAngewandte Chemie International Edition · 2025
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsMinistry of Education and Child Care
FundersNational Key Research and Development Program of ChinaBasic Research Program of Jiangsu ProvinceGovernment of Jiangsu ProvinceNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsAmine gas treatingCrystal (programming language)MoleculeLuminescenceSolid-stateMaterials scienceChemistryCrystallographyPhotochemistryNanotechnologyOrganic chemistryOptoelectronicsPhysical chemistry

Abstract

fetched live from OpenAlex

Achieving dynamic multicolor emission through solid-state molecular motion is of significant importance for advancing applications in organic solid-state luminescent materials. Herein, we report macrocycle crystals with unique forward- and retro-vapofluorochromic behavior, which is realized by reversible amine vapor uptake and amine-"squeeze" induced guest release. The forward-vapofluorochromism occurs when aliphatic amines penetrate guest-free macrocycle crystals to form host-guest complex crystals. These fluorescent properties can be reversibly toggled by exposing the amine-loaded crystals to another amine vapor through competitive guest replacement inside the crystals. Notably, retro-vapofluorochromism is achieved by exposing amine-loaded crystals to α-methylbenzylamine (MBA). Mechanistic studies show that MBA molecules do not penetrate the crystals, but rather "squeeze" the crystals to release loaded amines, driving the amine-loaded crystals back to the guest-free phase. The demonstrated forward- and retro-vapofluorochromism has already been successfully integrated into a highly secure five-layer information encryption system.

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)0.000
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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 head0.008
GPT teacher head0.254
Teacher spread0.246 · 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 teacher head, not a consensus.

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

Citations12
Published2025
Admission routes1
Has abstractyes

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