activity
20042023
most citedResolution-of-identity approach to Hartree-Fock, hybrid density functionals, RPA, MP2, and \textit{GW} with numeric atom-centered orbital basis functions

745 citations · 3.1k across the 46 of their papers we have counts for

collaborators

47 papers

physics.comp-ph2023

Sub-quadratic scaling real-space random-phase approximation correlation energy calculations for periodic systems with numerical atomic orbitals

Rong Shi, Peize Lin, Min-Ye Zhang +2

The random phase approximation (RPA) as formulated as an orbital-dependent, fifth-rung functional within the density functional theory (DFT) framework offers a promising approach f…

physics.chem-ph2023

Basis-set-error-free RPA correlation energies for atoms based on the Sternheimer equation

Hao Peng, Sixian Yang, Hong Jiang +2

The finite basis set errors for all-electron random-phase approximation (RPA) correlation energy calculations are analyzed for isolated atomic systems. We show that, within the res…

cond-mat.supr-con2023

Microscopic resolution of superconducting electrons in ultrahigh-pressed hydrogen sulfide

Jian-Feng Zhang, Bo Zhan, Miao Gao +4

We investigate the electronic and phonon properties of hydrogen sulfide (SH) under ultrahigh pressure to elucidate the origin of its high-T superconductivity. Contrary to t…

cond-mat.mtrl-sci2023

Implementation of the SCAN Exchange-Correlation Functional with Numerical Atomic Orbitals

Renxi Liu, Daye Zheng, Xinyuan Liang +3

Kohn-Sham density functional theory (DFT) is nowadays widely used for electronic structure theory simulations, and the accuracy and efficiency of DFT rely on approximations of the…

physics.comp-ph2023★ 27 cited

Predicting structure-dependent Hubbard U parameters for assessing hybrid functional-level exchange via machine learning

Zhendong Cao, Guanghui Cai, Fankai Xie +7

DFT+U is a widely used treatment in the density functional theory (DFT) to deal with correlated materials that contain open-shell elements, whereby the quantitative and sometimes e…

cond-mat.mtrl-sci2023★ 3 cited

Efficient hybrid density functional calculation by deep learning

Zechen Tang, He Li, Peize Lin +7

Hybrid density functional calculation is indispensable to accurate description of electronic structure, whereas the formidable computational cost restricts its broad application. H…