Rapid estimation of γ' solvus temperature for composition design of Ni-based superalloy via physics-informed generative artificial intelligence
The exceptional high-temperature mechanical properties of Ni-based superalloys are mainly stemmed from the L12 γ' phase, therefore it is crucial to discover Ni-based superalloys with high γ' solvus temperatures. Utilizing generative artificial intelligence, we have developed a framework to swiftly e...
Tallennettuna:
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2024-06-01
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| Sarja: | Journal of Alloys and Metallurgical Systems |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S2949917824000208 |
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