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...
Na minha lista:
| Principais autores: | , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2026-05-01
|
| coleção: | Advanced Intelligent Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1002/aisy.202501497 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|