6 papers
adapol: Adaptive pole-fitting for quantum many-body physics
Zhen Huang, Chia-Nan Yeh, Lin Lin +3
We describe adapol, a Python package for fitting Matsubara Green's functions, self-energies, and hybridization functions by a compact sum of simple poles with real pole locations a…
Importance of effective Coulomb interactions for in cuprates
Jakša Vučičević, Upendra Kumar, Chia-Nan Yeh +2
Cuprate superconductors exhibit the highest observed superconducting at atmospheric pressure. However, the magnitude of varies significantly between different cuprates.…
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…
Electronic correlations and dynamical screening with ab initio quantum embedding
Chia-Nan Yeh, Francesco Petocchi, Alexander Hampel +4
First-principles descriptions of correlated quantum materials require a simultaneous treatment of strong local many-body effects and nonlocal dynamical screening. We present an eff…
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…
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…