Explores atomic descriptors, emphasizing symmetry, locality, and the challenges of incorporating electrostatics in machine learning models for chemistry.
Explores curvilinear motion, cylindrical and spherical coordinates, accelerations, and their applications in trajectory analysis and orbital movements.