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Record W4385628483 · doi:10.1016/j.solmat.2023.112497

Boosting electrochromic properties of polyamides through altering the structure bonded to triarylamine groups by xanthene

2023· article· en· W4385628483 on OpenAlexaff
Ce Zhang, Minghao Zhai, Shixuan Xia, Xinxin Fu, Tianjiao Hong, Baixin Zhang, Haoxin Liu, Wanan Cai, Haijun Niu, Wen Wang

Bibliographic record

VenueSolar Energy Materials and Solar Cells · 2023
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsXantheneElectrochromismPolyamideThermal stabilityMonomerChemistryAmine gas treatingSolubilityMaterials scienceFluorenePolymer chemistryChemical engineeringCombinatorial chemistryPhotochemistryOrganic chemistryPolymerElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

To obtain a high-performance material with large optical contrast, fast response, stable redox reversibility and easy processability simultaneously, a novel amine monomer , N1, N1'-(spiro(fluorene-9,9′-xanthene)-2,7-diyl)-bis(N1-(4-methoxyphenyl) benzene-1,4-diamine) (SFXMOPb-NH 2 ) was designed and prepared by inserting xanthene group core into two electron-rich triarylamine (TAA) systems. Then, SFXMOPb-NH 2 was polycondensed with various carboxylic acids to obtain three high-performance polyamides (PAs), namely SFXMOPb-OA, SFXMOPb-CA, and SFXMOPb-6F, respectively, in which the SFXMOPb-OA possesses excellent properties with good solubility and thermal stability, long cycle stability (cycle times up to 20,000 s and 2000 switching cycles), high coloring efficiency (CE, up to 463 cm 2 C −1 ), and large optical contrast (ΔT, up to 62%). Obvious color transformation from red to blue is obtained in an electrochromic device (ECD). These PAs also reveal memristors properties. It demonstrates that introducing twisted structure and ringlike ether into PAs could pave the way for design and preparation of molecules for fabrication of high-performance EC devices and memristors.

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 score0.002
Threshold uncertainty score0.617

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)0.0000.000

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 head0.015
GPT teacher head0.221
Teacher spread0.205 · 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

Citations12
Published2023
Admission routes1
Has abstractyes

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