Webinar Series: From Challenge to Insight
TC-Python Workspace:
Generating Flexible, Connected, Calculation Workflows
THURSDAY, NOVEMBER 12 AT 3 PM CET/9 AM EST
SPEAKER: Clay Houser
How well can digital simulations “represent reality” when compared with experimental data? Real materials exhibit microstructural hierarchies, processing path dependence, and variations across spatial and temporal scales, all of which contribute to uncertainty in material behavior and performance. Within CALPHAD tools, conventional calculation approaches, such as single calculations, do not fully capture this complexity. However, linked calculations can be used to model the evolution of process-structure-property relationships and capture the propagation of uncertainty.
To address this challenge, we have developed TC-Python Workspace, an extension to the commercially available TC-Python API that enables users to create flexible, connected calculation workflows. In this webinar, we will introduce the tool’s architecture and functionality and demonstrate how it can be used in practice. Examples will show how TC-Python Workspace can represent real-world material complexity and help users assess uncertainty in their calculations.
From Challenge to Insight Series
This webinar is part of the webinar series From Challenge to Insight: Thermo-Calc for Real-World Materials Challenges.
Running from September to November 2026, the series features webinars presented by Thermo-Calc experts, each focusing on a different area of the software and demonstrating its application to real-world challenges through detailed use cases involving real alloy systems, materials, and industrial processes.
Join us to explore practical examples and learn how Thermo-Calc software can support your own work.
Register for the Other Webinars
Computational Aqueous Thermodynamics for Corrosion Studies │ Thursday, September 24 at 3 PM CEST/9 AM EDT
Development of High Performance Aluminium Alloys For Additive Manufacturing │ Thursday, October 8 at 3 PM CEST/9 AM EDT
Unlocking Accelerated Product Development by Combining Computational Thermodynamics and Machine Learning │ Thursday, October 15 at 4 PM CEST/10 AM EDT
From Processing History to Precipitation Pathways and Mechanical Properties: Practical Insights into the Thermo-Calc Precipitation Module (TC-PRISMA) │ Thursday, October 29 at 3 PM CET/10 AM EDT