https://github.com/nschloe/materials

Density, magnetic permeability etc. for a range of materials.
https://github.com/nschloe/materials

chemistry engineering physics physics-simulation

Last synced: 9 months ago
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Density, magnetic permeability etc. for a range of materials.

• Host: GitHub
• URL: https://github.com/nschloe/materials
• Owner: nschloe
• License: mit
• Created: 2017-03-29T07:40:36.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-12-07T09:52:50.000Z (over 8 years ago)
• Last Synced: 2025-07-05T18:37:49.678Z (12 months ago)
• Topics: chemistry, engineering, physics, physics-simulation
• Language: Python
• Size: 61.5 KB
• Stars: 9
• Watchers: 2
• Forks: 10
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# materials

[![Build Status](https://travis-ci.org/nschloe/materials.svg?branch=master)](https://travis-ci.org/nschloe/materials)

[![codecov](https://codecov.io/gh/nschloe/materials/branch/master/graph/badge.svg)](https://codecov.io/gh/nschloe/materials)

[![PyPi Version](https://img.shields.io/pypi/v/materials.svg)](https://pypi.python.org/pypi/materials)

[![GitHub stars](https://img.shields.io/github/stars/nschloe/materials.svg?style=social&label=Star&maxAge=2592000)](https://github.com/nschloe/materials)

materials is a database of physical and chemical data, possibly with

temperature dependence, of various more or less common materials. All data are

given in SI units.

For example, to plot the density of various materials between 274 and 370 K

you can do

```python

import materials

import matplotlib.pyplot as plt

import numpy

T = numpy.linspace(274.0, 370.0, num=100)

rho_air = materials.air.density(T)

rho_argon = materials.argon.density(T)

rho_copper = materials.copper.density(T)

rho_water = materials.water.density(T)

plt.semilogy(T, rho_copper, label='copper')

plt.semilogy(T, rho_water, label='water')

plt.semilogy(T, rho_argon, label='argon')

plt.semilogy(T, rho_air, label='air')

plt.title('densities')

plt.xlabel('temperature (K)')

plt.ylabel('density (kg/m^3)')

plt.legend()

plt.show()

```

![](https://nschloe.github.io/materials/density.png)

### Installation

materials is [available from the Python Package

Index](https://pypi.python.org/pypi/materials/), so simply type

```

pip install -U materials

```

to install or upgrade.

### Testing

To run the materials unit tests, check out this repository and type

```

pytest

```

### Distribution

To create a new release

1. bump the `__version__` number,

2. publish to PyPi and GitHub:

    ```

    make publish

    ```

### License

materials is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).