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Record W4411948066 · doi:10.1002/marc.202500281

Cross‐Conjugated Polymer Semiconductors

2025· review· en· W4411948066 on OpenAlexafffund
Naixin Zhao, Sung Jae Jeon, Yuning Li

Bibliographic record

VenueMacromolecular Rapid Communications · 2025
Typereview
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsConjugated systemMaterials scienceElectrochromismDelocalized electronNanotechnologyPolymerOrganic semiconductorSemiconductorOLEDDiodeOptoelectronicsChemistryOrganic chemistryElectrode

Abstract

fetched live from OpenAlex

Cross-conjugated polymer semiconductors represent an unconventional yet promising class of materials with distinct structural and electronic characteristics compared to their linear conjugated counterparts. These systems introduce branched π-electron delocalization, enabling unique optical, electronic, and redox behaviors not accessible through traditional conjugated frameworks. In this review, we provide a comprehensive overview of representative cross-conjugated polymer systems, emphasizing the structure-property relationships and their implications for optoelectronic performance. We highlight recent advances in the design and application of these materials in organic field-effect transistors (OFETs), organic light-emitting diodes (OLEDs), sensors, electrochromic devices, solar cells, and energy storage. While these polymers typically exhibit lower charge carrier mobilities, several notable examples demonstrate that high mobility can be achieved via structural transformation into linearly conjugated systems through electrical, chemical, or tautomerization mechanisms. Overall, cross-conjugated polymers offer significant potential in emerging applications that demand multifunctionality, environmental responsiveness, and tunable redox behavior.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.324
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2025
Admission routes2
Has abstractyes

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