Ensemble learning for impurity prediction in high-purity indium purified via vertical zone refining
The complexity of raw materials and multi-step purification processes presents considerable technical challenges in establishing universally applicable process parameters for the production of high-purity metals. Machine learning has emerged as an indispensable tool in the field of materials science...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2024-06-01
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| Edice: | Intelligent Systems with Applications |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2667305324000656 |
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