Predicting hydrogen segregation energy distributions in strained regions of tungsten using artificial neural network
Employing the smooth overlap of atomic position (SOAP) descriptors, we established an artificial neural network (ANN) model with the ability to effectively and accurately predict the segregation energy Eseg distributions of hydrogen (H) atoms in various strained regions of tungsten (W). The model is...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2024-06-01
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| coleção: | Nuclear Materials and Energy |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2352179124000607 |
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