Webinar

MACHINE LEARNING SERIES

CALPHAD by Machine Learning and for Machine Learning

Artificial intelligence and machine learning (AI/ML) has emerged as a transformative force in materials science, presenting both challenges and opportunities. At Thermo-Calc Software AB, we are striving toward a full integration of AI/ML into our CALPHAD (CALculation of PHAse Diagrams) framework, enabling new approaches for rapidly developing high-quality thermodynamic and kinetic databases as well as accurate and fast-acting materials property models that are critical to materials design.

Topics Include:
  • Harnessing AI/ML for CALPHAD Database Development: Insights into our internal projects and the remarkable results achieved.

  • Empowering Machine Learning with CALPHAD Data: How Thermo-Calc calculation results can be utilized to enhance AI/ML models for accelerated materials design.

  • Success Stories and Pitfalls: Case studies showcasing the effective and problematic integration of CALPHAD calculations in addressing materials science challenges through Machine Learning.

  • Guidance on Software and Data Usage: Clarifications on the use of Thermo-Calc Software's tools and data in training ML models, in accordance with our End User License Agreement.
This webinar is a part of Thermo-Calc Software’s Machine Learning Webinar Series, taking place between November 2024 and February 2025. Find more information about the other webinars below.
 
AlloyGPT: an agent-based LLM framework for the design of additively manufactured structural alloys in extreme environments
 
Bayesian Frameworks for Accelerated Alloy Discovery
 
High-throughput CALPHAD calculations for screening and machine learning of refractory complex concentrated alloys 
 
[ON-DEMAND] Alloy Design Based on Artificial Intelligence and Machine Learning

Access the Recording