Explores the theory and applications of the center of gravity in physics, including the calculation of moments, couple forces, and mechanical advantage in levers.
Explores atomic descriptors, emphasizing symmetry, locality, and the challenges of incorporating electrostatics in machine learning models for chemistry.
Explores the application of machine learning in molecular dynamics and materials, emphasizing the creation of meaningful features and the importance of generalizability.