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scikit-nano 0.2.25

Python toolkit for generating and analyzing nanostructure data

Latest Version: 0.3.16

scikit-nano

scikit-nano is a python toolkit for generating and analyzing nanostructure data.

Currently, its primary utility is generating nanostructure data (i.e. atomic coordinates) for the following nanostructure materials:

  • Graphene:

    • Single layer graphene
    • Bi-layer graphene with layers rotated relative to each other by any angle and different layer stacking arrangements
    • N-layer graphene
  • Nanotubes:

    • Single-walled nanotubes (SWNTs)
    • SWNT bundles
    • Multi-walled nanotubes (MWNTs)
    • MWNT bundles

It currently supports saving structure data in the following formats:

  • LAMMPS data
  • xyz

Secondary to its structure generating functions are its structure analysis tools including:

  • defect/vacancy structure analysis
  • nearest-neighbor analysis

Dependencies

Required Dependencies

Optional Dependencies

Installation

You can install the latest stable release from the Python Package Index using pip:

> pip install scikit-nano

Alternatively you can download a source code tarball from http://pypi.python.org/pypi/scikit-nano or clone the source code from the github repo using git:

> git clone https://github.com/androomerrill/scikit-nano.git

cd into the source code directory and run:

> python setup.py install

These commands will probabily fail if you don’t have admin privileges. In that case, try installing to the user base directory. Using pip:

> pip install --user scikit-nano

Or from source:

> python setup.py install --user
 
File Type Py Version Uploaded on Size
scikit-nano-0.2.25.tar.gz (md5) Source 2014-06-25 5MB
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