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Electrostatic pair-potentials based on the Poisson equation

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  • المؤلفون: Stenqvist, B
  • المصدر:
    New Journal of Physics ; volume 21, issue 6, page 063008 ; ISSN 1367-2630
  • نوع التسجيلة:
    article in journal/newspaper
  • اللغة:
    unknown
  • معلومة اضافية
    • بيانات النشر:
      IOP Publishing
    • الموضوع:
      2019
    • نبذة مختصرة :
      Electrostatic pair-potentials within molecular simulations are often based on empirical data, cancellation of derivatives or moments, or statistical distributions of image-particles. In this work we start with the fundamental Poisson equation and show that no truncated Coulomb pair-potential, unsurprisingly, can solve the Poisson equation. For any such pair-potential the Poisson equation gives two incompatible constraints, yet we find a single unique expression which, pending two physically connected smoothness parameters, can obey either one of these. This expression has a general form which covers several recently published pair-potentials. For sufficiently large degree of smoothness we find that the solution implies a Gaussian distribution of the charge, a feature which is frequently assumed in pair-potential theory. We end up by recommending a single pair-potential based both on theoretical arguments and empirical evaluations of non-thermal lattice- and thermal water-systems. The same derivations have also been made for the screened Poisson equation, i.e. for Yukawa potentials, with a similar solution.
    • الرقم المعرف:
      10.1088/1367-2630/ab1ec1
    • الرقم المعرف:
      10.1088/1367-2630/ab1ec1/pdf
    • الدخول الالكتروني :
      https://doi.org/10.1088/1367-2630/ab1ec1
      http://iopscience.iop.org/article/10.1088/1367-2630/ab1ec1
      http://iopscience.iop.org/article/10.1088/1367-2630/ab1ec1/pdf
      https://iopscience.iop.org/article/10.1088/1367-2630/ab1ec1/pdf
      https://iopscience.iop.org/article/10.1088/1367-2630/ab1ec1
    • Rights:
      http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
    • الرقم المعرف:
      edsbas.5EE25B6B