The webinar titled “Machine Learning Interatomic Potentials for Modelling Radiation Damage” features Professor Kai Nordlund from the University of Helsinki. In this session, Professor Nordlund discusses recent advancements in developing machine-learning interaction models tailored for radiation damage calculations in body-centered cubic (bcc) high-entropy alloys and face-centered cubic (fcc) metals. These models offer significantly higher accuracy compared to traditional analytical interatomic potentials, enhancing the precision of simulations related to radiation-induced damage in various materials.
For more details, you can view the complete webinar video recording under the following link:
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