Inverse Design of Amorphous Materials With Targeted Properties
Jonas A Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M Smedskjaer · 2026
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Description
Jonas A Finkler and others tackled inverse design of amorphous items with aimed traits, in 2026. Loose items such as glasses are hopeful for energy storage, nonlinear optics, and speeding, but their lack of long-range order and complex short- and medium-range structure create a vast design space. Trial and error cannot explore it fast.
Machine learning inverse design, good for crystals and units using diffusion models, was adapted for amorphous items, where ways remain less built. The work shows how desired traits can guide wave of loose parts. Items scientists gain a computer route to glasses and amorphous solids built for given functions.
Catalog record
| CREATOR | Jonas A Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M Smedskjaer |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |