activity
20202026
most citedInterpolative separable density fitting decomposition for accelerating Hartree-Fock exchange calculations within numerical atomic orbitals

31 citations · 83 across the 9 of their papers we have counts for

collaborators

10 papers

cond-mat.mtrl-sci2026

High-Throughput Discovery of Chiral Carbon-Boron Semimetals with Weyl Topology and Phonon-Mediated Superconductivity

Lizhou Yang, Wenneng Zhao, Ye Yang +9

Chiral crystals provide a natural platform for unconventional topological fermions, while light-element carbon--boron frameworks are promising for phonon-mediated superconductivity…

cond-mat.mtrl-sci2026

Dynamic Moiré Potentials and Robust Wigner Crystallization in Large-Scale Twisted Transition Metal Dichalcogenides

Yifan Ke, Chuanjing Zeng, Xinming Qin +3

Understanding the dynamical evolution of large-scale moiré systems is crucial for connecting theoretical predictions with experimental observations. Here we develop a machine-learn…

physics.chem-ph2026

V2Rho-FNO: Fourier Neural Operator for Electronic Density Prediction

Yingdi Jin, Xinming Qin, Ruichen Liu +3

Density functional theory (DFT) is a cornerstone of computational chemistry and materials science, but its computational cost limits its use in large-scale and high-throughput appl…

cs.DC2024★ 1 cited

PWDFT-SW: Extending the Limit of Plane-Wave DFT Calculations to 16K Atoms on the New Sunway Supercomputer

Qingcai Jiang, Zhenwei Cao, Junshi Chen +4

First-principles density functional theory (DFT) with plane wave (PW) basis set is the most widely used method in quantum mechanical material simulations due to its advantages in a…

physics.comp-ph2022★ 1 cited

Complex-valued K-means clustering of interpolative separable density fitting algorithm for large-scale hybrid functional enabled \textit{ab initio} molecular dynamics simulations within plane waves

Shizhe Jiao, Jielan Li, Xinming Qin +3

K-means clustering, as a classic unsupervised machine learning algorithm, is the key step to select the interpolation sampling points in interpolative separable density fitting (IS…

physics.comp-ph2022★ 24 cited

KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set

Shizhe Jiao, Zhenlin Zhang, Kai Wu +12

KSSOLV (Kohn-Sham Solver) is a MATLAB toolbox for performing Kohn-Sham density functional theory (DFT) calculations with a plane-wave basis set. KSSOLV 2.0 preserves the design fea…

physics.comp-ph2020★ 5 cited

The static parallel distribution algorithms for hybrid density-functional calculations in HONPAS package

Xinming Qin, Honghui Shang, Lei Xu +4

Hybrid density-functional calculation is one of the most commonly adopted electronic structure theory used in computational chemistry and materials science because of its balance b…

physics.comp-ph2020★ 21 cited

The dynamic parallel distribution algorithm for hybrid density-functional calculations in HONPAS package

Honghui Shang, Lei Xu, Baodong Wu +3

This work presents a dynamic parallel distribution scheme for the Hartree-Fock exchange~(HFX) calculations based on the real-space NAO2GTO framework. The most time-consuming electr…

physics.comp-ph2020

Extreme-Scale Density Functional Theory High Performance Computing of DGDFT for Tens of Thousands of Atoms using Millions of Cores on Sunway TaihuLight

Wei Hu, Xinming Qin, Caiqing Jiang +7

High performance computing (HPC) is a powerful tool to accelerate the Kohn-Sham density functional theory (KS-DFT) calculations on modern heterogeneous supercomputers. Here, we des…

physics.comp-ph2020★ 31 cited

Interpolative separable density fitting decomposition for accelerating Hartree-Fock exchange calculations within numerical atomic orbitals

Xinming Qin, Jie Liu, Wei Hu +1

The high cost associated with the evaluation of Hartree-Fock exchange (HFX) makes hybrid functionals computationally challenging for large systems. In this work, we present an effi…