Explores the derivation of a potential function without knowing the charge distribution and its practical implications in analyzing electrostatic problems.
Covers the nextnano software for quantum simulation of nanostructures, including input structure, material doping, and self-consistent solutions for Poisson, Drift-Diffusion, and Schrödinger Equations.
Discusses the magnetic field induced by a moving charge and the vector potential of a magnetic field, along with Maxwell's equations and the Poisson equations.
Explores the theory and applications of Green functions in classical electrodynamics, emphasizing the importance of choosing the right function based on boundary conditions.