10 citations · 11 across the 6 of their papers we have counts for
6 papers
Self-consistent vertex corrected with static and dynamic screening using tensor hypercontraction: assessment of molecular charged excitations
Munkhorgil Wang, Ming Wen, Pavel Pokhilko +3
We investigate self-consistent vertex corrections to the self-energy for ionization potentials (IPs) and electron affinities (EAs). We benchmark IPs against CCSD(T) referen…
Interpolative separable density fitting on adaptive real space grids
Hai Zhu, Chia-Nan Yeh, Miguel A. Morales +3
We generalize the interpolative separable density fitting (ISDF) method, used for compressing the four-index electron repulsion integral (ERI) tensor, to incorporate adaptive real…
Using Matrix-Free Tensor-Network Optimizations to Construct a Reduced-Scaling and Robust Second-Order Møller-Plesset Theory
Karl Pierce, Miguel Morales
We investigate the efficient combination of the canonical polyadic decomposition (CPD) and tensor hyper-contraction (THC) approaches. We first present a novel low-cost CPD solver w…
Tensor hypercontraction for self-consistent vertex corrected GW with static and dynamic screening; applications to molecules and solids with superexchange
Pavel Pokhilko, Chia-Nan Yeh, Miguel A. Morales +1
For molecules and solids, we developed efficient MPI-parallel algorithms for evaluating the second-order exchange term with bare, statically screened, and dynamically screened inte…
Tensor hypercontraction for fully self-consistent imaginary-time GF2 and GWSOX methods: theory, implementation, and role of the Green's function second-order exchange for intermolecular interactions
Pavel Pokhilko, Chia-Nan Yeh, Miguel A. Morales +1
We apply tensor hypercontraction (THC) to reduce the computational scaling of expensive fully self-consistent Green's function methods. We present an efficient MPI-parallel algorit…
Low-Scaling algorithms for and constrained random phase approximation using symmetry-adapted interpolative separable density fitting
Chia-Nan Yeh, Miguel A. Morales
We present low-scaling algorithms for and constrained random phase approximation based on a symmetry-adapted interpolative separable density fitting (ISDF) procedure that inco…