Self-Healing Materials: From fundamental concepts to advanced space and electronics 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
Self-healing materials are an emerging class of smart materials that are capable of repairing themselves from damage, either spontaneously or under a stimulus such as light, heat, or the application of a solvent. Intended for an audience of researchers in academia and industry, this book addresses a wide range of self-healing materials and processes, with emphasis on their performance in the space environment. This revised, expanded and updated second edition addresses the key concepts of selfhealing processes, from their occurrences in nature through to recent advances in academic and industrial research. It includes a detailed description and explanation of a wide range of materials and applications such as polymeric, anticorrosion, smart paints, and carbon nanotubes. Emphasis is given to performance in the space environment, addressing vacuum, thermal gradients, mechanical vibrations, and space radiation. Innovations in controlling self-healing materials for space debris mitigation are also covered. The book concludes with a comprehensive outlook into the future developments and applications of self-healing materials.
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