Predicting the Ti-Al Binary Phase Diagram with an Artificial Neural Network Potential
The microstructure of the Ti-Al binary system is an area of great interest, as it affects material properties and plasticity. Phase transformations induce microstructural changes; therefore, accurately modeling the phase transformations of the Ti-Al system is necessary to describe plasticity. Intera...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-01-01
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| Colecção: | Metals |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2075-4701/16/2/140 |
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