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.
Explores practical applications in nonlinear dynamics, emphasizing symplectic integration methods and thin lens approximations for accurate computations in accelerator physics.
