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Record W3037427133 · doi:10.1002/anie.202007588

Revealing Crystallization‐Induced Blue‐Shift Emission of a Di‐Boron Complex by Enhanced Photoluminescence and Electrochemiluminescence

2020· article· en· W3037427133 on OpenAlexafffund
Jonathan M. Wong, Ruizhong Zhang, Peidong Xie, Liuqing Yang, Minlin Zhang, Ruixue Zhou, Ruiyao Wang, Yue Shen, Bing Yang, Hongbo Wang, Zhifeng Ding

Bibliographic record

VenueAngewandte Chemie International Edition · 2020
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrochemiluminescencePhotoluminescenceBlueshiftBoronCrystallizationMaterials sciencedBcPhotochemistryAnnihilationIntramolecular forceChemistryOptoelectronicsPhysical chemistryElectrodePhysicsStereochemistry

Abstract

fetched live from OpenAlex

Elucidating the effects of crystallization-induced blue-shift emission of a newly synthesized di-boron complex (DBC) by enhanced photoluminescence (PL) and electrochemiluminescence (ECL) in the annihilation pathway was realized for the first time. The 57 nm blue-shift and great enhancement in the crystalline lattice relative to the DBC solution were attributed to the restriction of intramolecular rotation (RIR) and confirmed by PL imaging, X-ray diffraction, as well as DFT calculations. It was discovered that ECL at crystalline film/solution interfaces can be further enhanced by means of both co-reactant route and RIR. The RIR contributions with co-reactant increased ECL up to 5 times more. Very interestingly, the co-reactant system was found to give off a red-shifted light emission. Mechanistic studies reveal that a difference between location of the ECL in the co-reactant route and that in the annihilation pathway leads to an alternative emission wavelength.

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 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 score0.015
Threshold uncertainty score0.933

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 communication0.0000.001
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 head0.021
GPT teacher head0.258
Teacher spread0.238 · 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.

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

Citations87
Published2020
Admission routes2
Has abstractyes

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