4D printing of novel polybenzimidazole-containing structures with exceptional radiation resistance and mechanical properties
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
The 4D printing of high-temperature shape memory polymers (SMPs) has attracted tremendous interest because of its potential application in smart devices in the aerospace field. The development of SMPs with high thermal and mechanical properties as well as radiation resistance is challenging. In this work, we developed UV-curable resins based on rigid thermally stable poly-2,2′-( p -oxydiphenylene)-5,5′-dibenzimidazole (OPBI), a photosensitive solvent (N,N-dimethylacrylamide), and a crosslinker (bisphenol A ethoxylate diacrylate or tris [2-(acryloyloxy)ethyl] isocyanurate). 4D-printed high-performance SMPs were obtained through a UV‒thermal dual-curing process, which resulted in materials with high glass transition temperatures (155–185 °C) and increased tensile strengths (115–144 MPa). The combination of hard segments from OPBI and crosslinkers, as well as soft segments from N,N-dimethylacrylamide, results in excellent shape memory performance of the materials (the average shape fixity and shape recovery ratios both exceed 94 %). In addition, we found that 4D-printed OPBI-based SMPs are resistant to γ-radiation at doses up to 10^6 Gy. After γ-irradiation, the materials maintain high tensile strengths (up to 124 MPa), glass transition temperatures (up to 179 °C) and shape memory behavior. Thus, these new 4D-printed OPBI-based SMPs offer great potential for the aerospace industry.
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 | 0.000 | 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 it