Unlocking Accelerated Product Development by Combining Computational Thermodynamics and Machine Learning

THURSDAY, OCTOBER 15 AT 4 PM CEST/10 AM EDT

Presented in collaboration with

SPEAKERS:
Adam Hope (Thermo-Calc Software)
James Saal (Citrine Informatics)

Machine learning (ML) is rapidly transforming materials development workflows, high-quality materials data make these methods more effective. CALPHAD is a framework for predicting material properties and behavior for a broad range of alloys, ceramics, and other material types. These calculations can be leveraged to provide additional physical data for ML training datasets, enhancing predictive capabilities for a wider range of material properties. This can be particularly useful when experimental data is sparse or lacking entirely.

In this joint webinar, Thermo-Calc and Citrine Informatics combine calculated and experimental data for a set of stainless steel alloys within a machine learning framework. We then demonstrate how to perform a multi-objective optimization of properties such as density, corrosion performance, hardness, and cost.

In addition to learning about ML optimizations and the CALPHAD method, attendees will gain a better understanding of how to combine Thermo-Calc calculated materials data with real-world experimental data within the Citrine platform, in order to optimize a material chemistry for a given application.

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. This session is presented in collaboration with CITRINE Informatics.

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