Highly Parallel Real-Space Random Phase Approximation Using Lanczos Quadrature and Interpolation
This work presents a highly parallelizable, matrix-free, real-space method for computing the random phase approximation (RPA) correlation energy within Kohn-Sham density functional theory that avoids the explicit construction and eigen-decomposition of the response function matrix and uses Lanczos quadrature to evaluat...