Unsupervised learning-aided extrapolation for accelerated design of superalloys
Abstract Machine learning has been widely used to guide the search for new materials by learning the patterns underlying available data. However, the pure prediction-oriented search is often biased to interpolation due to the limited data in a large unexplored space. Here we present a sampling frame...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2024-08-01
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| Edice: | npj Computational Materials |
| On-line přístup: | https://doi.org/10.1038/s41524-024-01358-8 |
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