Polyurethane (<scp>PU</scp>) based multifunctional materials: Emerging paradigm for functional textiles, smart, and biomedical applications
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.
Bibliographic record
Abstract
Abstract The advances in polymer chemistry research have revolutionized the field of smart materials and biomedical. Polyurethanes (PUs) are a versatile polymer class with diverse structure, morphology, and behavior under various conditions deemed suitable for many functional and intelligent responses. Owing to their biocompatibility, biodegradability, excellent mechanical strength, tailorable chemical, and physical forms, PU has drawn significant research attention in recent times for a wide range of applications. Herein, this review paper outlines PU's recent advances in specific applications encompassing functional textiles, intelligent functionality and medical usage. This article contains a comprehensive review of recent developments and research works concerning PU's direct involvement as coatings, 3D objects, or composite parts to add novel purpose to the textile substrates, smart objects, or medical applications. Commencing with PU's application for the waterproof breathable textiles, the review further explores recent research where PU was incorporated as a phase change material and protective clothing. This review further delves innovative functionalities and responsiveness of the polymer triggered by various stimuli. It ends with an inclusive review of PU's different forms of application concerning medical devices and activities. Finally, perspectives on future challenges and new research opportunities are also presented and 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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it