Particula

A simple, fast, and powerful particle simulator for aerosol science.

Requires: Python 3.12+

Installation

pip install particula

or via conda:

conda install -c conda-forge particula

Quick Start

import particula as par

# Build an aerosol system
aerosol = (
    par.AerosolBuilder()
    .set_atmosphere(atmosphere)
    .set_particles(particles)
    .build()
)

# Run dynamics (chainable with | operator)
process = par.dynamics.Condensation(strategy) | par.dynamics.Coagulation(strategy)
aerosol = process.execute(aerosol, time_step=10, sub_steps=1000)

Code Structure

particula/
├── gas/           # Gas phase: species, vapor pressure, atmosphere
├── particles/     # Particle representations & distributions
├── dynamics/      # Time-dependent processes
│   ├── coagulation/
│   ├── condensation/
│   └── wall_loss/
├── activity/      # Activity coefficients, phase separation
├── equilibria/    # Gas-particle partitioning
└── util/          # Constants, validation, unit conversion

Documentation Guide

Looking for...	Go to
Tutorials & walkthroughs	Examples/
Scientific background	Theory/
API reference	Full Docs
Contributing	contribute/

Examples by Topic

Aerosol — Building and inspecting aerosol objects
Dynamics — Coagulation, condensation, wall loss simulations
Equilibria — Gas-particle partitioning calculations
Gas Phase — Vapor pressure, species properties
Particle Phase — Size distributions, optical properties
Simulations — Full end-to-end scientific scenarios

Featured Examples

Aerosol Tutorial — Learn how to build gas species, atmospheres, particle distributions, and combine them into an Aerosol object.
Organic Partitioning & Coagulation — Full simulation of secondary organic aerosol (SOA) formation from 10 organic vapors, followed by Brownian coagulation over 10 minutes.
Cloud Chamber Cycles — Multi-cycle cloud droplet activation demonstrating κ-Köhler theory across 3 seed compositions (Ammonium Sulfate, Sucrose, Mixed), showing how hygroscopicity affects activation at different supersaturations.

Features

Gas & Particle Phases — Full thermodynamic modeling with swappable strategies
Dynamics — Coagulation, condensation, wall loss, dilution
Flexible Representations — Discrete bins, continuous PDF, particle-resolved
Builder Pattern — Clean, validated object construction with unit conversion
Composable Processes — Chain runnables with | operator

Citation

If you use Particula in your research, please cite:

Particula [Computer software]. DOI: 10.5281/zenodo.6634653

License

MIT

Release files for particula 0.2.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for particula 0.2.12
File	Size	Uploaded
particula-0.2.12.tar.gz	977.0 kB	Feb 25, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for particula 0.2.12
File	Interpreter	ABI	Platform	Reset
particula-0.2.12-py3-none-any.whl 1.2 MB Feb 25, 2026	Python 3	none	any	Details

Total release size: 2.2 MB

Release files / particula-0.2.12.tar.gz

Download URL	particula-0.2.12.tar.gz
Size	977.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`55df62c949d7b34d9ec32bd82dc959273ab3e367177ac5f779bff0b4d7110ed6`
BLAKE2b-256 checksum How to use checksums	`d74b90f3cb378e5fdfe55cca38a7246b3214d876e72468c6c8224859e983acd0`
Upload date	Feb 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`

Release files / particula-0.2.12-py3-none-any.whl

Download URL	particula-0.2.12-py3-none-any.whl
Size	1.2 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`8b3c2a78b4b5169c0fd75fbbd65db40645e532d1199c5d11f956d7bdbf1ba613`
BLAKE2b-256 checksum How to use checksums	`c9d4561a60267de0635c6aa8a69b47ffde52bb390decb4a7b2452d92ce7897cc`
Upload date	Feb 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.7`