Influence of cut-off truncation and artificial periodicity of electrostatic interactions in molecular simulations of solvated ions: A continuum electrostatics study
Author(s) -
Michael Bergdorf,
Christine Peter,
Philippe H. Hünenberger
Publication year - 2003
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.1614202
Subject(s) - solvation , electrostatics , ion , truncation (statistics) , spurious relationship , solvent , chemistry , ionic bonding , electric field , chemical physics , potential of mean force , periodic boundary conditions , boundary value problem , molecular dynamics , molecular physics , computational chemistry , physics , quantum mechanics , mathematics , statistics , organic chemistry
A new algorithm relying on finite integration is presented that solves the equations of continuum electrostatics for truncated (and possibly reaction-field corrected) solute–solvent and solvent–solvent interactions under either nonperiodic or periodic boundary conditions. After testing and validation by comparison with existing methods, the algorithm is applied to investigate the effect of cut-off truncation and artificial periodicity in explicit-solvent simulations of ionic solvation and ion–ion interactions. Both cut-off truncation and artificial periodicity significantly alter the polarization around a spherical ion and thus, its solvation free energy. The nature and magnitude of the two perturbations are analyzed in details, and correction terms are proposed for both effects. Cut-off truncation is also shown to induce strong alterations in the potential of mean force for ion–ion interaction. These observations help to rationalize artifacts previously observed in explicit–solvent simulations, namely spurious features in the radial distribution functions close to the cut-off distance and alterations in the relative stabilities of contact, solvent-separated and free ion pairs.
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