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Record W4411298977 · doi:10.1002/adom.202500683

Recent Progress in Organic TADF Emitters Containing Heavy Atoms

2025· article· en· W4411298977 on OpenAlex

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

VenueAdvanced Optical Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMaterials scienceOLEDNanotechnologyOptoelectronics

Abstract

fetched live from OpenAlex

Abstract All organic compounds exhibiting thermally activated delayed fluorescence (TADF) are useful materials for applications in organic light‐emitting diodes (OLED), bioimaging, and photocatalysis. In addition to their low cost, organic TADF materials can have high brightness, excellent colour purity, and good stability. Despite this, many emitters still suffer from slow TADF which can reduce the operational lifetime of TADF‐based OLEDs due to biexcitonic processes that lead to decomposition of the emitters. In recent years, the incorporation of heavy elements into organic TADF emitters has emerged as a useful strategy for accelerating both forward and reverse intersystem crossing through the heavy atom effect. This approach can increase device efficiencies and lifetimes, but relies on a detailed, and often subtle, understanding of molecular design. This review summarizes recent advances in the use of the heavy atom effect in organic TADF systems, providing a detailed overview of the photophysics and, where applicable, OLED performance of the studied materials. Design principles, challenges, and opportunities for heavy atom incorporation in TADF systems are also discussed.

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)0.000
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 score0.032
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.273
Teacher spread0.265 · 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