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Fast-Track Your Thesis — Cut through complexity, validate with ease, and publish sooner than you thought possible.

Particula's flexible, reproducible workflows keep pace with your changing research goals, accelerating every step of your journey.

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Particula

What is Particula?

Particula is an open-source, Python-based aerosol simulator that bridges experimental data with computational models. It captures gas-particle interactions, transformations, and dynamics to power predictive aerosol science—so you can uncover deeper insights and accelerate progress.


Why Use Particula?

Aerosols influence atmospheric science, air quality, and human health in powerful ways. Gaining insight into how they behave is essential for effective pollution control, accurate cloud formation modeling, and safer indoor environments. Particula provides a robust, flexible framework to simulate, analyze, and visualize aerosol processes with precision—empowering you to make breakthroughs and drive impactful science.


How Does Particula Help You?

Whether you’re a researcher, educator, or industry expert, Particula is designed to empower your aerosol work by:

  • Harnessing ChatGPT integration for real-time guidance, troubleshooting, and Q&A, here.
  • Providing a Python-based API for reproducible and modular simulations.
  • Interrogating your experimental data to validate and expand your impact.
  • Fostering open-source collaboration to share ideas and build on each other’s work.

Get Started with Particula

Setup Particula API Reference Examples Theory


PyPI Installation

If your Python environment is already set up, install Particula directly from PyPI:

pip install particula

Conda Installation

Alternatively, you can install Particula using conda:

conda install -c conda-forge particula


Join the Community

We welcome contributions from scientists, developers, and students—and anyone curious about aerosol science! Whether you’re looking to ask questions, get help, or contribute fresh ideas, you’ve come to the right place.

Get more by posting on GitHub Discussions and tag any of the contributors using @github-handle.

We’re excited to collaborate with you! ✨


Cite Particula in Your Research

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