Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
The past few years have seen the development of “universal” machine‐learning interatomic potentials (uMLIPs) capable of approximating the ground‐state potential energy surface across a wide range of chemical structures and compositions with reasonable accuracy. While these models differ in the archi...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Wiley
2026-05-01
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| Seri Bilgileri: | Advanced Intelligent Systems |
| Konular: | |
| Online Erişim: | https://doi.org/10.1002/aisy.202501497 |
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