activity
20162022
most citedCubic scaling algorithms for RPA correlation using interpolative separable density fitting

55 citations · 78 across the 6 of their papers we have counts for

collaborators

6 papers

math.AP2022

Dissociation limit of the H2 molecule in the particle-hole random phase approximation

Mi-Song Dupuy, Kyle Thicke

In this work, we consider the particle-hole random phase approximation (phRPA), an approximation to the correlation energy in electronic structure, and show that the phRPA energy o…

math.NA2021★ 1 cited

Computing spectral properties of topological insulators without artificial truncation or supercell approximation

Matthew J. Colbrook, Andrew Horning, Kyle Thicke +1

Topological insulators (TIs) are renowned for their remarkable electronic properties: quantised bulk Hall and edge conductivities, and robust edge wave-packet propagation, even in…

physics.comp-ph2018★ 12 cited

Computing edge states without hard truncation

Kyle Thicke, Alexander B. Watson, Jianfeng Lu

We present a numerical method which accurately computes the discrete spectrum and associated bound states of Hamiltonians which model electronic "edge" states localized at boundari…

physics.comp-ph2018★ 2 cited

Accelerating Optical Absorption Spectra and Exciton Energy Computation for Nanosystems via Interpolative Separable Density Fitting

Wei Hu, Meiyue Shao, Andrea Cepellotti +5

We present an efficient way to solve the Bethe-Salpeter equation (BSE), a model for the computation of absorption spectra in molecules and solids that includes electron-hole excita…

physics.comp-ph2017★ 55 cited

Cubic scaling algorithms for RPA correlation using interpolative separable density fitting

Jianfeng Lu, Kyle Thicke

We present a new cubic scaling algorithm for the calculation of the RPA correlation energy. Our scheme splits up the dependence between the occupied and virtual orbitals in b…

math.NA2016★ 8 cited

Orbital minimization method with regularization

Jianfeng Lu, Kyle Thicke

We consider a modification of the OMM energy functional which contains an penalty term in order to find a sparse representation of the low-lying eigenspace of self-adjoint…