About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
An Open-Source Tool for Automated, High-Throughput Grain Boundary Structure Prediction |
Author(s) |
Enze Chen, Mark Asta, Timofey Frolov |
On-Site Speaker (Planned) |
Enze Chen |
Abstract Scope |
The structure and properties of grain boundaries (GBs) modulate several important materials properties, and the recent discovery of GB phases motivates the need for a comprehensive understanding of these interfacial states. Computational advances have enabled high-throughput simulations of GB structures to be performed, but existing studies may undersample all possible degrees of freedom, thereby missing certain GB phases. Herein, we present a flexible, highly parallelized algorithm—the Grand canonical Interface Predictor, or GRIP—for performing grand canonical optimization of GB structures in a range of systems. We reproduce literature results that were obtained using more complex algorithms and we discover new ground states for several systems. We developed a regularly updated database on the Materials Project that contains the predicted GB phases in elemental and alloy systems to share the data with the community for studying related interfacial phenomena and constructing materials informatics workflows. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, Other, Other |