About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
Multi Cell Monte Carlo Method for Phase Prediction |
Author(s) |
Maryam Ghazisaeidi, You Rao, Wolfgang Windl, Changning Niu |
On-Site Speaker (Planned) |
Maryam Ghazisaeidi |
Abstract Scope |
We present a Multi-Cell Monte Carlo algorithm, or (MC)^2, for predicting stable phases of arbitrary alloys. Free atomic transfer among cells is achieved via the application of the lever rule, where an assigned molar ratio virtually controls the percentage of each cell in the overall simulation. All energies are computed using density functional theory. We test the method by successful prediction of the stable phases of known binary systems. We then apply the method to a quaternary high entropy alloy. The method is particularly robust in predicting stable phases of multi-component systems for which phase diagrams do not exist. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |