Mechanochemical and machine-intelligent design of programmable materials: From molecular interactions to macroscale functionality
Mitra Najafloo, Leila Naji, Christoph Eberl · 2026
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Description
Mitra Najafloo, Leila Naji, and Christoph Eberl review, in a 2026 paper, programmable materials that change their behavior on cue, designed by joining chemistry with mechanics and machine intelligence. Most work treats chemical and mechanical responses apart; merging them opens adaptive systems that react in richer ways.
Topics span force-activated molecular switches, stress-guided chemical patterning, and structures whose function evolves under load. Machine learning speeds the hunt through inverse design, property prediction, and self-adjusting materials. Uses range over soft robots, shape-memory devices, self-healing matter, and smart coatings. The review argues feedback between force and chemistry, guided by models across scales, defines the field's next step.
Catalog record
| CREATOR | Mitra Najafloo, Leila Naji, Christoph Eberl |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 190 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |