2020
DOI: 10.1063/5.0003293
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Harmonic surface mapping algorithm for molecular dynamics simulations of particle systems with planar dielectric interfaces

Abstract: We have developed an accurate and efficient method for molecular dynamics simulations of charged particles confined by planar dielectric interfaces. The algorithm combines the image-charge method for near field with the harmonic surface mapping, which converts the contribution of infinite far-field charges into a finite number of charges on an auxiliary spherical surface. We approximate the electrostatic potential of far-field charges via spherical harmonic expansion and determine the coefficients by fitting t… Show more

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Cited by 20 publications
(16 citation statements)
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“…The HSMA algorithms for 3D and 2D periodic systems were described in detail in Refs. [42] and [43], respectively. Here we give a brief overview of the most important features of the algorithm.…”
Section: Review Of Hsma Algorithmsmentioning
confidence: 99%
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“…The HSMA algorithms for 3D and 2D periodic systems were described in detail in Refs. [42] and [43], respectively. Here we give a brief overview of the most important features of the algorithm.…”
Section: Review Of Hsma Algorithmsmentioning
confidence: 99%
“…To overcome this issue, we introduce the Dirichlet-to-Neumann (DtN) boundary condition in Ref. [43], which transforms the dielectric conditions into a surface integral that only requires knowledge of Φ c and its derivative in z-direction. The coefficients A m n are then obtained by minimizing the residual norm of the DtN boundary condition which is approximated via the 2D-dilation formula [46].…”
Section: Review Of Hsma Algorithmsmentioning
confidence: 99%
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“…Recently, a harmonic surface mapping algorithm (HSMA), which combines the method of image charges and the boundary integral method to calculate the Green's function, has been proposed and applied to particle systems [27,28]. Its basic idea is that an auxiliary surface is introduced such that the contribution of image charges outside the surface is represented by image charges distributed over the surface.…”
Section: Introductionmentioning
confidence: 99%