Boosting electrochromic properties of polyamides through altering the structure bonded to triarylamine groups by xanthene
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".