Andre Lukas

University of Oxford, UK

20 July 2023 Thu 3 pm

                                      IBS Center for Theoretical Physics of Complex Systems (PCS), Administrative Office (B349), Theory Wing, 3rd floor

                                      Expo-ro 55, Yuseong-gu, Daejeon, South Korea, 34126 Tel: +82-42-878-8633                     

Machine learning and related computational methods have become substantially more powerful and are already applied in many areas of science.

In the future, they are likely to change  scientific research profoundly.

In this talk I will be discussing two ways in which machine learning can already be helpful in physics: solving differential equations and model building.

I will attempt to explain the basic ideas behind these applications and present some recent examples.

  1. machine learning in particle and string theory