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Prospects of Tensor-based Numerical Modeling of the Collective Electrostatic Potential in Many-particle Systems by Khoromskaia, Venera; Khoromskij, Boris N. is a scholarly article available to read on EtoBox.
What is Prospects of Tensor-based Numerical Modeling of the Collective Electrostatic Potential in Many-particle Systems about?
Recently the rank-structured tensor approach suggested a progress in the numerical treatment of the long-range electrostatic potentials in many-particle systems and the respective interaction energy and forces [39,40,2]. In this paper, we outline the prospects for tensor-based numerical modeling of the collective electrostatic potential on lattices and in many-particle systems of general type. We generalize the approach initially introduced for the rank-structured grid-based calculation of the collective potentials on 3D lattices [39] to the case of many-particle systems with variable charges placed on $L^{\otimes d}$ lattices and discretized on fine $n^{\otimes d}$ Cartesian grids for arbitrary dimension $d$. As result, the interaction potential is represented in a parametric low-rank canonical format in $O(d L n)$ complexity. The energy is then calculated in $O(d L)$ operations. Electrostatics in large biomolecules is modeled by using the novel range-separated (RS) tensor format [2], which maintains the long-range part of the 3D collective potential of the many-body system represented on $n\times n \times n$ grid in a parametric low-rank form in $O(n)$-complexity. We show that th
- Author
- Khoromskaia, Venera; Khoromskij, Boris N.
- Published
- 2020
- Language
- EN