Metadata-Version: 2.4
Name: mnpbem-particles
Version: 0.1.2
Summary: Particle abstractions for compositional nanostructure modeling.
Author-email: GALIH RIDHO UTOMO <g4lihru@students.unnes.ac.id>
License-Expression: GPL-2.0-only
Project-URL: Homepage, https://pypi.org/project/mnpbem-particles/
Project-URL: Repository, https://github.com/galihru/mnpbem/tree/main/mnpbem-particles
Project-URL: Source, https://github.com/galihru/mnpbem
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.24

# mnpbem-particles

[![PyPI version](https://img.shields.io/pypi/v/mnpbem-particles.svg)](https://pypi.org/project/mnpbem-particles/)
[![Python versions](https://img.shields.io/pypi/pyversions/mnpbem-particles.svg)](https://pypi.org/project/mnpbem-particles/)

`mnpbem-particles` provides geometric particle primitives for nanostructure models.
Release metadata is generated from this README so published notes remain consistent with the scientific API summary.

## Implemented Formulation
Sphere volume:

```text
V = \frac{4}{3}\pi r^3
```

## Implementation
- Particle primitives: `src/mnpbem_particles/primitives.py`

## Dependencies
- `numpy>=1.24`

## Installation
```bash
pip install mnpbem-particles
```

## Example
Runnable example:
- `examples/basic_usage.py`

Run:
```bash
python examples/basic_usage.py
```

## Author
- GALIH RIDHO UTOMO
- g4lihru@students.unnes.ac.id
