Explores classical and quantum models to understand heat capacity in solids and discusses the relation between heat capacities at constant volume and pressure.
Explores geometric quantization, the process of quantizing classical systems to obtain quantum systems using mathematical techniques like pseudo-differential calculus.
Explores the interaction between electromagnetic waves and matter, from classical to quantum models, emphasizing the significance of probability distributions and energy states.
Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
Explores diffusion mechanisms in solids, including simple, vacancy, and interstitial mechanisms, cubic and non-cubic structures, and the calculation of diffusion coefficients.
Explores the link between linear algebra and wave mechanics, focusing on operators, self-adjoint nature, Brillouin Zone, and a probabilistic approach to diffusion.
