Physical Property Prediction of High-Temperature Nickel and Iron–Nickel Superalloys Using Direct and Inverse Composition Machine Learning Models.
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| Title: | Physical Property Prediction of High-Temperature Nickel and Iron–Nickel Superalloys Using Direct and Inverse Composition Machine Learning Models. |
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| Authors: | Fatriansyah, Jaka Fajar1, jakafajar@ui.ac.id, Ajiputro, Dzaky Iman1,2, Pradana, Agrin Febrian1, Kaban, Rio Sudwitama Persadanta1,2, Federico, Andreas1, Anis, Muhammad1, Priadi, Dedi1, Gascoin, Nicolas2 |
| Source: | Metals (2075-4701); May2025, Vol. 15 Issue 5, p565, 13p |
| Database: | Applied Science & Technology Source |
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| ISSN: | 20754701 |
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| DOI: | 10.3390/met15050565 |