How can we predict the way a real material, such as a polymer, responds mechanically over timescales ranging from the ultrafast motion of atoms to the slow deformations measured in a laboratory? This is a deceptively difficult problem.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Physics-aware benchmark reveals why similar materials AI models can predict thermal conductivity differently | 0 | 10.16 | 09-09-2026 |
| 2 | Tiny 2D cracks creep through materials before triggering sudden fracture, experiments reveal | 0 | 6.67 | 09-09-2026 |
| 3 | Reversible electric control unlocks persistent chiral phonon states | 0 | 9.22 | 07-09-2026 |
| 4 | 全域宇宙背景能转化:中微子伏特技术跨学科全解析 | 0 | 10 | 11-08-2026 |
| 5 | Real-time quantum jump in sound observed for first time | 0 | 10.93 | 17-09-2026 |
| 6 | Hot electrons reveal electronic collisions may raise resistance in twisted graphene | 0 | 5.77 | 16-09-2026 |
| 7 | From Detecting Neutrinos to Designing Matter That Responds | 0 | 10.75 | 06-08-2026 |
| 8 | AI extracts interpretable constitutive laws directly from solid-mechanics data | 0 | 10.42 | 11-09-2026 |
| 9 | Physicists define new material blueprint for next-generation microchip encryption | 0 | 12.93 | 24-09-2026 |
| 10 | The secret to a perfect crystal may be a precisely calibrated extra turn | 0 | 7.26 | 22-09-2026 |