Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
Explores the link between linear algebra and wave mechanics, focusing on operators, self-adjoint nature, Brillouin Zone, and a probabilistic approach to diffusion.
Covers semiconductor behavior, focusing on energy levels, charge distributions, and conductivity in N-P-N structures and metal-semiconductor interfaces.