About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
Development and Integration of Calphad Databases and Software Tools for Alloy and Gradient Designs |
| Author(s) |
Aurelien Perron, Nicholas Ury, Brandon Bocklund, Kaila Bertsch, Joseph McKeown |
| On-Site Speaker (Planned) |
Aurelien Perron |
| Abstract Scope |
Efforts at LLNL regarding CALPHAD database and software developments will be presented with an emphasis on their use for alloy and gradient designs. Specifically, latest developments in the pycalphad (https://pycalphad.org), ESPEI (https://espei.org), and kawin (https://kawin.org/) open-source software packages and their application to designing functionally graded materials will be discussed. Then, the LLNL’s Materials Acceleration Platform (MAP) running on high-performance computers and handling CALPHAD-based, analytical and machine-learning models will be introduced to tackle the challenging task of screening and optimizing new alloys for multiple properties in a vast composition space. We will highlight the design of new refractory alloys targeting high yield strength and ductility at elevated temperatures with constraints on phase stability in a 9-element composition space. Finally, alloy design case studies using The Alloy Optimization Software (TAOS, https://softwarelicensing.llnl.gov/product/taos) will be presented.
This work was performed under the auspices of the U.S. DOE by LLNL under contract DE-AC52-07NA27344. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Other, Other, |