Explores noise and propagation fundamentals in radiation, antennas, and wireless communications, covering internal and external noise sources, thermal noise, wireless principles, and signal propagation phenomena.
Explores atomic descriptors, emphasizing symmetry, locality, and the challenges of incorporating electrostatics in machine learning models for chemistry.
