Microstructural characterization and hardness prediction of AlCuCrFeNi high entropy alloys using Transformer-based Physics-Informed Neural Networks (T-PINN)
This research investigated a novel approach to generating dual-phase high entropy alloys (HEAs) from recycled waste materials, with the objective of attaining sustainable manufacturing while maintaining material performance. The AlCuCrFeNi composition was synthesized using vacuum arc melting (VAM) t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S223878542501974X |
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