Machine Learning of Defects in Laves Phases by Tilmann Hickel and Christoph Freysoldt

What is the relevance of defects in #materials and how to simulate them? What are defect #thermodynamics and how can #machinelearning help to integrate the multiphysical nature of defects? Watch this video by our group leaders Tilmann Hickel and Christoph Freysoldt to learn more about machine learning of defects in Laves phases and about our integrated development environment #pyiron.
This seminar is part of a seminar series "Coffee with Max Planck".
© Tilmann Hickel and Christoph Freysoldt

Видео Machine Learning of Defects in Laves Phases by Tilmann Hickel and Christoph Freysoldt канала Max Planck Institute for Sustainable Materials