randomnwn 0.5.6

Modelling and analyzing random nanowire networks in Python.

Random NWNs

Python package for modelling and analyzing random nanowire networks. This package was a summer research project lasting from May 2021 to August 2021 under the supervision of Dr. Claudia Gomes da Rocha.

This repository is discontinued, to be replaced its successor with: https://github.com/marcus-k/MemNNetSim

Table of Contents

• Installation
• Usage
• Uninstallation

Installation

Random NWNs can be installed from PyPI for quick use or installed manually for development.

Production

The latest version of randomnwn can be installed from PyPI:

pip install randomnwn

An Anaconda environment file is also provided to create a new virtual environment with the minimum required dependencies required to run the package.

conda env create -n randomnwn -f environment.yml

Be sure you activate the environment before using the package!

conda activate randomnwn

Development

One can use the dev-environment.yml file with Anaconda to create a new virtual environment with all the required dependencies for development.

conda env create -n randomnwn -f dev-environment.yml

This will also install the randomnwn package in editable mode (i.e. as if running pip install -e . in the base folder).

Usage

Nanowire network objects are simply NetworkX graphs with various attributes stored in the graph, edges, and nodes.

>>> import randomnwn as rnwn
>>> NWN = rnwn.create_NWN(seed=123)
>>> NWN
                Type: JDA
               Wires: 750
          Electrodes: 0
Inner-wire junctions: None
      Wire junctions: 3238
              Length: 50.00 um (7.143 l0)
               Width: 50.00 um (7.143 l0)
        Wire Density: 0.3000 um^-2 (14.70 l0^-2)
>>> rnwn.plot_NWN(NWN)
(<Figure size 800x600 with 1 Axes>, <AxesSubplot:>)

See the wiki pages for more detail on usage.

Uninstallation

To uninstall the package, use:

pip uninstall randomnwn