About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
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Advances in Multi-Principal Element Alloys III: Mechanical Behavior
|
Presentation Title |
Design of High Entropy Alloys with Property Trade-offs through Unsupervised Data Driven Approaches |
Author(s) |
Scott Broderick, Krishna Rajan |
On-Site Speaker (Planned) |
Scott Broderick |
Abstract Scope |
This work explores new high entropy alloys (HEAs) which address the challenges in trade-offs between strength, ductility and various environmental effects. To address the limitations in traditional regression approaches which can generate large amounts of data rapidly but do not account for the complex interplay in correlating properties, we instead apply an unsupervised learning approach. By mapping the high dimensional nature of the systematics of elemental data embedded in the periodic table, the influence of specific combinations of elements on engineering properties of HEAs are captured. This approach is designed to capture the interplay between chemistry, microstructure and phase stability, which allows us to identify chemical design rules for improving mechanical properties with minimal trade-offs. |
Proceedings Inclusion? |
Planned: |