My main interest is on understanding how machine learning methods are applied to improve and accelerate material science simulations. I am currently exploring topics related to:

• Descriptor analysis in the linear cluster expansion framework
• Improving schemes in describing electrostatics and other long-range effects in neural network potentials
• Software development of machine learning for material science codes