most citedAn Adaptive Fast Algorithm for Periodic Coulomb Lattice Sums in Arbitrary Unit Cells

1 citations · 1 across the 1 of their papers we have counts for

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7 papers

math.NA20261 cited

An Adaptive Fast Algorithm for Periodic Coulomb Lattice Sums in Arbitrary Unit Cells

Xuanzhao Gao, Leslie Greengard, Shidong Jiang

We present a fast algorithm for evaluating conditionally convergent Coulomb lattice sums, governed by the Laplace equation with periodic boundary conditions on arbitrary unit cells…

math.NA2026

Accelerating Molecular Dynamics Simulations using Fast Ewald Summation with Prolates

Jiuyang Liang, Libin Lu, Alex Barnett +2

The evaluation of long-range Coulomb interactions is a significant cost in molecular dynamics (MD), even when using Particle Mesh Ewald (PME) or Particle-Particle-Particle-Mesh (PP…

math.NA2026

A spectral method for the rapid evaluation of hyperbolic potentials in two dimensions using windowed Fourier projection

Nour G. Al Hassanieh, Leslie Greengard, Alex H. Barnett

We present a fast algorithm for evaluating the (non-smooth) solution of the free-space two-dimensional (2D) scalar wave equation with many point sources, each with a high-frequency…

physics.comp-ph2026

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…

math.NA2025

Space-time adaptive methods for parabolic evolution equations

Jun Wang, Jie Su, Leslie Greengard +2

We present a family of integral equation-based solvers for the heat equation, reaction-diffusion systems, the unsteady Stokes equation and the incompressible Navier-Stokes equation…

math.NA2025

Fast summation of Stokes potentials using a new kernel-splitting in the DMK framework

Ludvig af Klinteberg, Leslie Greengard, Shidong Jiang +1

Classical Ewald methods for Coulomb and Stokes interactions rely on ``kernel-splitting," using decompositions based on Gaussians to divide the resulting potential into a near field…