Magnetically Assisted Rotationally Multistable Metamaterials for Tunable Energy Trapping–Dissipation
Bibliographic record
Abstract
Abstract A motif for rotational multistability is developed by arranging permanent magnets in a circular pattern and creating magnet pairs with magnetically induced negative incremental torsional stiffness. Through a set of experimental and numerical studies, different means to tailor the torsional response of a rotational magnet pair are demonstrated. A magnet pair in tandem with tilted elastic arms is harnessed to form an energy‐trapping rotational unit cell. By stacking several of these unit cells upon each other, a 1D rotationally multistable metamaterial capable of storing the input energy and releasing it in the form of rotational waves is developed. The periodic stable equilibrium states in rotational magnet pairs invoke the notion of cyclic multistability, which is employed here to realize, for the first time, a tunable fluid‐free rotary metadamper with energy dissipation induced by repeating snap‐back instabilities. High tunability of magnetic interactions offers a new design paradigm for developing reusable energy dissipative and energy trapping rotary metamaterials, the properties of which can be easily tailored in situ and even at the post‐fabrication stage.
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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".