5 papers
Range-Separated Stochastic Resolution of Identity: Formulation and Application to Second Order Green's Function Theory
Wenjie Dou, Ming Chen, Tyler Y. Takeshita +3
We develop a range-separated stochastic resolution of identity approach for the -index electron repulsion integrals, where the larger terms (above a predefined threshold) are tr…
Dopant levels in large nanocrystals using stochastic optimally tuned range-separated hybrid density functional theory
Alex J. Lee, Ming Chen, Wenfei Li +3
We apply a stochastic version of an optimally tuned range-separated hybrid functional to provide insight on the electronic properties of P- and B- doped Si nanocrystals of experime…
Stochastic Resolution of Identity for Real-Time Second-Order Green's Function: Ionization Potential and Quasi-particle Spectrum
Wenjie Dou, Tyler Y. Takeshita, Ming Chen +3
We develop a stochastic resolution of identity approach to the real-time second-order Green's function (real-time sRI-GF2) theory, extending our recent work for imaginary-time Mats…
Stochastic embedding DFT: theory and application to p-nitroaniline
Wenfei Li, Ming Chen, Eran Rabani +2
Over this past decade, we combined the idea of stochastic resolution of identity with a variety of electronic structure methods. In our stochastic Kohn-Sham DFT method, the density…
Overlapped Embedded Fragment Stochastic Density Functional Theory for Covalently Bonded Materials
Ming Chen, Roi Baer, Daniel Neuhauser +1
The stochastic density functional theory (DFT) [Phys. Rev. Lett. 111, 106402 (2013)] is a valuable linear scaling approach to Kohn-Sham DFT that does not rely on the sparsity of th…