About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Thermodynamics and Kinetics of Alloys IV
|
| Presentation Title |
Modeling Alloy Thermodynamics for Systems With Large Lattice Distortion |
| Author(s) |
Kang Wang, Yuanchen Gao, Du Cheng, Bi-Cheng Zhou |
| On-Site Speaker (Planned) |
Bi-Cheng Zhou |
| Abstract Scope |
In this talk, I will discuss popular computational methods which can model alloy thermodynamics for systems with large lattice distortion. Out of these methods, the mixed-space cluster expansion (MSCE) approach will be highlighted. MSCE is a first-principles method to simultaneously model configuration-dependent short-ranged chemical and long-ranged strain interactions in alloy thermodynamics. In our recent work, MSCE is generalized to systems with multiple sublattices by formulating compatible reciprocal space interactions and combined with a crystal-symmetry-agnostic algorithm for the calculation of constituent strain energy. This generalized approach is then demonstrated in a hypothetical HCP system and Mg-Zn alloys. The current MSCE can significantly improve the accuracy of energy parameterization even for structures with large lattice distortion. The generalized MSCE method makes it possible to simultaneously analyze the short- and long-ranged configuration-dependent interactions in crystalline materials with arbitrary lattices with the accuracy of typical first-principles methods. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, ICME |