"Applications of Artificial Intelligence to Neutron Scattering"
Neutron scattering is a versatile technique for studying the structure and dynamics of materials. Unfortunately, there are a limited number of neutron sources available in the world to perform scientific experiments. In this talk, I will discuss the use of artificial intelligence to more efficiently use these instruments. Methods include reinforcement learning, demonstrated by Deep Mind in their alpha Go program, as well as techniques such as Bayesian optimization. I will also discuss how AI can accelerate the analysis of data that we take and aid our understanding.