Cubic scaling algorithms for RPA correlation using interpolative separable density fitting

We present a new cubic scaling algorithm for the calculation of the RPA correlation energy. Our scheme splits up the dependence between the occupied and virtual orbitals in $\chi^0$ by use of Cauchy's integral formula. This introduces an additional integral to be carried out, for which we provide a geometrically convergent quadrature rule. Our scheme also uses the newly developed Interpolative Separable Density Fitting algorithm to further reduce the computational cost in a way analogous to that of the Resolution of Identity method.Comment: 22 pages, 6 figure

Dissociation limit of the H2 molecule in the particle-hole random phase approximation

In this work, we consider the particle-hole random phase approximation (phRPA), an approximation to the correlation energy in electronic structure, and show that the phRPA energy of the H2 molecule correctly dissociates. That is, as the hydrogen atoms are pulled apart, the phRPA energy of the system converges to twice the phRPA energy of a single hydrogen atom. Despite the simplicity of the H2 system, the correct dissociation of H2 is known to be a difficult problem for density functional approximations. As part of our result, we prove that the phRPA correlation energy is well-defined