About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
H-19: Applications of ChemApp for Python in Sustainable Materials Design |
| Author(s) |
Omer Buyukuslu, Florian Tang, Bruno Reis, Moritz to Baben |
| On-Site Speaker (Planned) |
Omer Buyukuslu |
| Abstract Scope |
ChemApp for Python is a thermochemical solver designed for metallurgical and materials science applications. It enables equilibrium calculations in complex multicomponent, multiphase systems through a Python interface.
We demonstrate application cases of ChemApp for Python using a high-throughput calculation approach for materials design, enabling the generation of thermochemical data for hundreds of thousands of different compositions within minutes.
By automating large numbers of equilibrium calculations, researchers can efficiently explore a wide range of compositions and process parameters. These results can be used to define screening criteria or serve as input features for machine learning models to improve prediction accuracy and guide materials design. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, Sustainability |