4 citations · 4 across the 2 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) refere…
The Python Simulations of Chemistry Framework: 10 years of an open-source quantum chemistry project
Qiming Sun, Matthew R Hermes, Xiaojie Wu +100
Over the past decade, the Python-based Simulations of Chemistry Framework (PySCF) has developed into a widely used open-source platform for electronic structure theory and quantum…
Homotopy continuation method for solving Dyson equation fully self-consistently: theory and application to NdNiO2
Pavel Pokhilko, Dominika Zgid
Solution of the Dyson equation for the small-gap systems can be plagued by large non-converging iterations. In addition to the convergence issues, due to a high non-linearity, the…
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…
Green/WeakCoupling: Implementation of fully self-consistent finite-temperature many-body perturbation theory for molecules and solids
Sergei Iskakov, Chia-Nan Yeh, Pavel Pokhilko +10
The accurate ab initio simulation of molecules and periodic solids with diagrammatic perturbation theory is an important task in quantum chemistry, condensed matter physics, and ma…
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…