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The smooth particle mesh Ewald (SPME) method is an FFT based method for the fast evaluation of electrostatic interactions under periodic boundary conditions. A highly optimized implementation of this method is available in GROMACS, a widely…

数值分析 · 数学 2017-12-14 Davood Saffar Shamshirgar , Berk Hess , Anna-Karin Tornberg

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 (PPPM) methods, which rely on Ewald splitting and the fast…

数值分析 · 数学 2026-04-21 Jiuyang Liang , Libin Lu , Alex Barnett , Leslie Greengard , Shidong Jiang

Standard Ewald sums, which calculate e.g. the electrostatic energy or the force in periodically closed systems of charged particles, can be efficiently speeded up by the use of the Fast Fourier Transformation (FFT). In this article we…

软凝聚态物质 · 物理学 2009-10-31 Markus Deserno , Christian Holm

The fast Ewald methods are widely used to compute the point-charge electrostatic interactions in molecular simulations. The key step that introduces errors in the computation is the particle-mesh interpolation. In this work, the optimal…

化学物理 · 物理学 2017-10-25 Han Wang , Jun Fang , Xingyu Gao

We derive and implement an alternative formulation of the Stochastic Lanczos algorithm to be employed in connection with the Many-Body Dispersion model (MBD). Indeed, this formulation, which is only possible due to the Stochastic Lanczos'…

化学物理 · 物理学 2023-10-23 Pier P. Poier , Louis Lagardère , Jean-Philip Piquemal

To evaluate electrostatics interactions, Molecular dynamics (MD) simulations rely on Particle Mesh Ewald (PME), an O(Nlog(N)) algorithm that uses Fast Fourier Transforms (FFTs) or, alternatively, on O(N) Fast Multipole Methods (FMM)…

数值分析 · 数学 2023-05-29 Igor Chollet , Louis Lagardère , Jean-Philip Piquemal

We evaluate the practical performance of the zero-multiple summation method (ZMM), a method for approximately calculating electrostatic interactions in molecular dynamics simulations. The performance of the ZMM is compared with that of the…

计算物理 · 物理学 2018-05-15 Shun Sakuraba , Ikuo Fukuda

A crucial aspect in the simulation of electrochemical interfaces consists in treating the distribution of electronic charge of electrode materials that are put in contact with an electrolyte solution. Recently, it has been shown how a…

材料科学 · 物理学 2024-07-16 Andrea Grisafi , Mathieu Salanne

The three most common methods, Ewald, fast multipole (FMM) and the particle-particle particle-mesh (PPPM), used to compute the interactions in many body Coulombic systems are compared for single and multi-processor machines. The Ewald…

凝聚态物理 · 物理学 2009-10-28 E. L. Pollock , Jim Glosli

We present an NPT extension of Ewald summation with prolates (ESP), a spectrally accurate and scalable particle-mesh method for molecular dynamics simulations of periodic, charged systems. Building on the recently introduced ESP framework,…

数值分析 · 数学 2026-01-05 Jiuyang Liang , Libin Lu , Shidong Jiang

We have extended the multilevel summation (MLS) method, originally developed to evaluate long-range Coulombic interactions in molecular dynamics (MD) simulations [Skeel et al., J. Comput. Chem., 23, 673 (2002)], to handle dispersion…

材料科学 · 物理学 2014-01-16 Daniel Tameling , Paul Springer , Paolo Bientinesi , Ahmed E. Ismail

For inhomogeneous systems with interfaces, the inclusion of long-range dispersion interactions is necessary to achieve consistency between molecular simulation calculations and experimental results. For accurate and efficient incorporation…

材料科学 · 物理学 2013-04-25 Rolf E. Isele-Holder , Wayne Mitchell , Ahmed E. Ismail

Molecular Dynamics (MD) simulations play a central role in physics-driven drug discovery. MD applications often use the Particle Mesh Ewald (PME) algorithm to accelerate electrostatic force computations, but efficient parallelization has…

硬件体系结构 · 计算机科学 2021-04-06 Lawrence C. Stewart , Carlo Pascoe , Brian W. Sherman , Martin Herbordt , Vipin Sachdeva

Constant potential molecular dynamics simulation plays important role for applications of electrochemical systems, yet the calculation of charge fluctuation on electrodes remains a computational bottleneck. We propose a highly scalable,…

计算物理 · 物理学 2025-09-30 Weihang Gao , Qi Zhou , Qianru Zhang , Zhenli Xu

The random batch Ewald (RBE) is an efficient and accurate method for molecular dynamics (MD) simulations of physical systems at the nano-/micro- scale. The method shows great potential to solve the computational bottleneck of long-range…

计算物理 · 物理学 2022-05-31 Jiuyang Liang , Zhenli Xu , Yue Zhao

We propose a new method to sum up electrostatic interactions in 2D slab geometries. It consists of a combination of two recently proposed methods, the 3D Ewald variant of Yeh and Berkowitz, J. Chem. Phys. 111 (1999) 3155, and the purely 2D…

材料科学 · 物理学 2009-11-07 Axel Arnold , Jason de Joannis , Christian Holm

Singularly perturbed systems (SPSs) are prevalent in engineering applications, where numerically solving their initial value problems (IVPs) is challenging due to stiffness arising from multiple time scales. Classical explicit methods…

数值分析 · 数学 2025-04-15 Yibo Shi , Cristian R. Rojas

The calculation of the MP2 correlation energy for extended systems can be viewed as a multi-dimensional integral in the thermodynamic limit, and the standard method for evaluating the MP2 energy can be viewed as a trapezoidal quadrature…

计算物理 · 物理学 2023-04-10 Xin Xing , Xiaoxu Li , Lin Lin

To minimise systematic errors in Monte Carlo simulations of charged particles, long range electrostatic interactions have to be calculated accurately and efficiently. Standard approaches, such as Ewald summation or the naive application of…

计算物理 · 物理学 2021-02-24 William Robert Saunders , James Grant , Eike Hermann Müller

In this work, we introduce the Kaiser-Bessel interpolation basis for the particle-mesh interpolation in the fast Ewald method. A reliable a priori error estimate is developed to measure the accuracy of the force computation in correlated…

化学物理 · 物理学 2017-06-14 Xingyu Gao , Jun Fang , Han Wang
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