### Speaker

### Description

### Provide a set of generic keywords that define your contribution (e.g. Data Management, Workflows, High Energy Physics)

NUMERICAL MODELING, MAGNETIZED DUST, ELECTRIC DISCHARGE, NUCLEAR FUSION, ASTROPHYSICS

### 4. Conclusions / Future plans

Resources of Russian Fusion_RDIG virtual organization were used for these studies. Computation of a single variant takes about 6 hours and produces about 200 MB data set. While modeling the full process from the chaotic initial conditions to the final state for over 100 variants it was produced about 20 GB of data. After each computation the 3D dynamics of the system is visualized using the same worker node.

### URL for further information:

http://uni-skeletons.narod.ru/English-main.htm

### 3. Impact

Application of grid technology to solving the inverse problem of reconstructing the electrodynamic parameters of basic blocks (i.e. elementary dust particles) allows the substantial decrease of total computation time (e.g., by two orders of magnitude for the case of modelling the electrodynamic self-assembling of coaxial tubular skeleton in a system of ~1000 magnetic dipoles, which are initially arranged as 50-100 linear electric current filaments).

### 1. Short overview

The present work is aimed at developing the numerical modeling approaches to describing a new branch of dusty plasma physics. The problem covers a wide range of research and application fields: erosion of plasma facing components and dust-tritium codeposition in nuclear fusion devices [1], controlled assembling of nanodust-based networks for creating new nanomaterials, structuring of astrophysical objects (dust clouds, planetary rings, etc.).