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Calculating the Electrostatic Potential Energy Based on ... - Lammps

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advised to check what is <str<strong>on</strong>g>the</str<strong>on</strong>g> optimal near field cutoff for <str<strong>on</strong>g>the</str<strong>on</strong>g> desired error in <str<strong>on</strong>g>the</str<strong>on</strong>g> potential energy calculati<strong>on</strong> for a given<br />

system before proceeding to do producti<strong>on</strong> runs. For inhomogeneous systems, e.g. interfaces, a test run is str<strong>on</strong>gly<br />

advised. Fur<str<strong>on</strong>g>the</str<strong>on</strong>g>rmore, specifying very small target accuracy is computati<strong>on</strong>ally expensive and <str<strong>on</strong>g>the</str<strong>on</strong>g> user is advised to find<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> best value for <str<strong>on</strong>g>the</str<strong>on</strong>g> near field cutoff with respect to desired accuracy and simulati<strong>on</strong> time.<br />

C<strong>on</strong>clusi<strong>on</strong>s<br />

The implementati<strong>on</strong> of PPPM in LAMMPS can correctly recover <str<strong>on</strong>g>the</str<strong>on</strong>g> electrostatic potential energy based <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g> Madelung<br />

c<strong>on</strong>stant. For a system with a reduced density of 0.125 -3 , <str<strong>on</strong>g>the</str<strong>on</strong>g> near field cutoff of 10 has <str<strong>on</strong>g>the</str<strong>on</strong>g> least value of (error) and<br />

specifying a target accuracy of 1x10 -4 in <str<strong>on</strong>g>the</str<strong>on</strong>g> “kspace_style” argument results in an error or in <str<strong>on</strong>g>the</str<strong>on</strong>g> order of 1x10 -5 for<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g> electrostatic potential energy. For <str<strong>on</strong>g>the</str<strong>on</strong>g> more dense system, <str<strong>on</strong>g>the</str<strong>on</strong>g> system with reduced density of 1.0 -3 , <str<strong>on</strong>g>the</str<strong>on</strong>g> near field<br />

cutoff of 8 has <str<strong>on</strong>g>the</str<strong>on</strong>g> least value of (error). The user is advised to check what is <str<strong>on</strong>g>the</str<strong>on</strong>g> optimal near field cutoff with respect<br />

to <str<strong>on</strong>g>the</str<strong>on</strong>g> desired error in <str<strong>on</strong>g>the</str<strong>on</strong>g> potential energy and <str<strong>on</strong>g>the</str<strong>on</strong>g> simulati<strong>on</strong> time for a given system before proceeding to do producti<strong>on</strong><br />

runs.<br />

References<br />

1. Hockney, R. W.; Eastwood, J. W., Computer simulati<strong>on</strong> using particles. Special student ed.; A. Hilger: Bristol<br />

[England] ; Philadelphia, 1988; p xxi, 540 p.<br />

2. Crandall, R. E.; Buhler, J. P., Elementary functi<strong>on</strong> expansi<strong>on</strong>s for Madelung c<strong>on</strong>stants. Journal of Physics A:<br />

Ma<str<strong>on</strong>g>the</str<strong>on</strong>g>matical and General 1987, 20 (16), 5497.<br />

3. Wahab, M. A., Solid state physics: structure and properties of materials. Alpha Science Internati<strong>on</strong>al: 2005.<br />

4. Deserno, M.; Holm, C., How to mesh up Ewald sums. II. An accurate error estimate for <str<strong>on</strong>g>the</str<strong>on</strong>g> particle-particleparticle-mesh<br />

algorithm. Journal of Chemical Physics 1998, 109 (18), 7694-7701.

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