Algorithmic differentiation for plane-wave DFT: materials design, error control and learning model parameters

Niklas Frederik Schmitz, Bruno Ploumhans, Michael F. Herbst

We present a differentiation framework for plane-wave density-functional theory (DFT) that combines the strengths of forward-mode algorithmic differentiation (AD) and density-funct…