LSR-Net learns long-short-range operators for pattern dynamics on manifolds via Fourier multipliers and Gaussian gridding, showing lower RMSE than SFNO on Allen-Cahn and similar systems.
Fast Ewald Summation using Prolate Spheroidal Wave Functions
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
Fast Ewald summation efficiently evaluates Coulomb interactions and is widely used in molecular dynamics simulations. It is based on a split into a short-range and a long-range part, where evaluation of the latter is accelerated using the fast Fourier transform (FFT). The accuracy and computational cost depend critically on the mollifier in the kernel split and the window function used in the spreading and interpolation steps that enable the use of the FFT. The first prolate spheroidal wavefunction (PSWF) has optimal concentration in real and Fourier space simultaneously, and is used when defining both a mollifier and a window function. We provide a complete description of the method and derive rigorous error estimates. In addition, we obtain closed-form approximations of the Fourier truncation and aliasing errors, yielding explicit parameter choices for the achieved error to closely match the prescribed tolerance. Numerical experiments confirm the analysis: PSWF-based Ewald summation achieves a given accuracy with significantly fewer Fourier modes and smaller window supports than Gaussian- and B-spline-based approaches, providing a superior alternative to existing Ewald methods for particle simulations.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
DMK extended to rectangular cuboids with arbitrary periodicity via localized octree evaluations on cubical tilings and Fourier-space root-level summation with truncated kernels for reduced periodicity.
citing papers explorer
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LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds
LSR-Net learns long-short-range operators for pattern dynamics on manifolds via Fourier multipliers and Gaussian gridding, showing lower RMSE than SFNO on Allen-Cahn and similar systems.
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Fast summation on rectangular cuboids with arbitrary periodicity in the DMK framework
DMK extended to rectangular cuboids with arbitrary periodicity via localized octree evaluations on cubical tilings and Fourier-space root-level summation with truncated kernels for reduced periodicity.