Renewable‐Resource‐Based Green Blends from Poly(furfuryl alcohol) Bioresin and Lignin
Bibliographic record
Abstract
The preparation of an eco‐friendly thermo‐stable blend from furfuryl alcohol and lignin based on renewable resources is described. The optimum properties achieved for 20 wt.‐% lignin show significant improvements in flexural strength (55%), modulus (70%), and storage modulus (14%) over those of neat poly(furfuryl alcohol) (PFA) due to the greater degree of interactions between lignin and PFA resin. FTIR analysis shows strong interactions between PFA and lignin. DMA results are correlated with different well‐known equations such as the Fox, Gordon–Tailor, and Kwei equation. TGA shows 47% char residue at 800 °C. SEM also supports the compatibility between the PFA and lignin in the blends.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".