Neural network for generating composition and parameters of metal alloys based on a given range of known and unknown parameters
This paper describes the development of a generative-adversarial neural network for generating metal alloy compounds with given parameters. The resulting alloy is described by 19 parameters: 14 describe the alloy composition and 5 describe the alloy properties. At the stage of data preparation the p...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/06/epjconf_apitech-vii2025_02009.pdf |
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