About this Abstract |
| Meeting |
TMS Specialty Congress 2026
|
| Symposium
|
4th World Congress on High Entropy Alloys (HEA 2026)
|
| Presentation Title |
Predicting CRSS in High-Entropy Alloys Using Physics-Informed Symbolic Regression |
| Author(s) |
Aras Ugurlu, Ahmet Sencer Altundas, Asrin Gunes, Ashfaque Uddin Ahmed, Guillaume Laplanche, Orcun Koray Celebi |
| On-Site Speaker (Planned) |
Orcun Koray Celebi |
| Abstract Scope |
High-Entropy Alloys (HEAs) with a FCC structure exhibit exceptional strength and ductility. Their yield strength is primarily governed by the Critical Resolved Shear Stress (CRSS) required for dislocation slip. This work presents closed-form analytical expressions for predicting the CRSS in FCC pure metals and solid solutions, including diluted and concentrated alloys (e.g., HEAs). Analytical expressions were discovered using deep symbolic regression trained on high-fidelity data generated by a modified Peierls–Nabarro model that integrates the Wigner–Seitz misfit energy and Eshelby–Stroh elastic energy formalisms. The discovered anisotropic and isotropic formulas rely only on fundamental material properties: lattice constants, elastic constants, and critical fault energies, and accurately reproduce experimental CRSSs. The derived expressions explicitly reveal how these material parameters control the CRSS. The model also captures the statistical distribution of CRSS values arising from configurational effects, such as short-range order (SRO), and predicts dislocation core structures that are consistent with atomistic simulations. Overall, the framework offers a rapid and robust approach for designing and screening high-performance HEAs with tailored yield stresses. |
| Proceedings Inclusion? |
Undecided |