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ML2MD 2026

Uppsala, Sweden|June 17 – 19, 2026

Join us for the 2026 symposium on Machine Learning for Materials and Molecular Discoveries (ML2MD). At this symposium, we seek to highlight some of the key research developments at the interface of machine learning and materials of the past couple of years, focusing on the following themes:

  1. Generative AI for Materials and Molecules
  2. ML-accelerated Simulations
  3. Automation, Experiments, and Machine Learning
  4. Foundation Models for Materials and Molecules

Join Our Presentation

CALPHAD and ML: A Synergistic Path to Smarter Materials Design.

Speaker: Qing Chen

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