About this Abstract |
| Meeting |
TMS Specialty Congress 2026
|
| Symposium
|
4th World Congress on High Entropy Alloys (HEA 2026)
|
| Presentation Title |
Discovery of High-Strength, High-Plasticity, and Oxidation-Resistant RHEAs Through Data-Driven Modeling |
| Author(s) |
Stephen A. Giles, Hugh Shortt, Peter K. Liaw, Debasis Sengupta |
| On-Site Speaker (Planned) |
Stephen A. Giles |
| Abstract Scope |
Refractory high-entropy alloys (RHEAs) is a class of materials which has been shown to possess excellent strength at high temperatures. However, other key properties such as their low-temperature plasticity and high-temperature oxidation resistance need further improvement. We have recently developed improved models for yield strength, plasticity, and oxidation mass gain to guide improvement of RHEAs and aid in materials discovery. In this presentation, we will describe how these state-of-the-art data-driven RHEA property models can guide experimental efforts to identify novel RHEAs with trade-off properties. |
| Proceedings Inclusion? |
Undecided |