About this Abstract |
Meeting |
2026 TMS Annual Meeting & Exhibition
|
Symposium
|
Thermodynamics and Kinetics of Alloys IV
|
Presentation Title |
Third-Generation Pandat Software: A High-Performance Materials Data Engine for ICME and AI |
Author(s) |
Weisheng Cao, Kamalnath Kadirvel, Shuanglin Chen, Chuan Zhang, Songmao Liang, Jun Zhu, Fan Zhang |
On-Site Speaker (Planned) |
Weisheng Cao |
Abstract Scope |
Pandat, developed based on CALPHAD, has evolved through three generations. The first-generation focused on thermodynamic calculations. The second-generation of Pandat has been re-designed as an integrated platform by coupling CALPHAD with kinetic simulations. The third-generation advances toward ICME and AI model integration, aiming to build a high-performance materials data engine for research and industrial applications. Key to this advancement are the new modules PanLink and PanDataNet, which overcome the computational limitations of traditional direct-coupling approaches. By dynamically clustering, managing and reusing calculation data, they enable thermodynamic/kinetic simulations at billion-scale speeds. When coupled with PanEvolution and PanSolidification, the system supports large-scale FEM simulations of heat treatment and casting processes. Several case studies will be presented to demonstrate these capabilities, along with the integration of Pandat with AI models for accelerated materials discovery. These advancements position Pandat as a leading solution for seamless integration with FEM and AI-driven platforms. |
Proceedings Inclusion? |
Planned: |
Keywords |
ICME, Machine Learning, Computational Materials Science & Engineering |