🧊 NeVF

NeVF: Representing CFD simulations as neural flow volume fields for efficient compression, reconstruction, and analysis
Omar A. Mures, Miguel Cid Montoya

📢 Latest News

🔥 [2026.08] Colab example released! 🚀

🔥 [2026.07] Pip package released! 📦

🔥 [2026.07] Code Released - Get Started Now! 🚀

🔥 [2026.02] Code Coming Soon! 👀

Usage

Installation

The nevf library is available using pip. We recommend using a virtual environment to avoid conflicts with other software on your machine.

pip install nevf

To run the demo:

python train.py -c configs/NeVF_S_LES.json

To create a conda env for development:

conda env create -f environment.yaml

🎯 TODO

The repo is still under construction, thanks for your patience.

• Release Colab example.
• Release pip package.
• Release of the neural compression code.

📜 Citation

@Article{mures2026nevf,
  author = {Mures, Omar A. and Cid Montoya, Miguel},
  title = {{NeVF: Representing CFD} simulations as neural flow volume fields for efficient compression, reconstruction, and analysis},
  journal = {Computer-Aided Civil and Infrastructure Engineering},
  volume = {49},
  pages = {100125},
  year = {2026},
  doi = {10.1016/j.cacaie.2026.100125},
  url = {https://doi.org/10.1016/j.cacaie.2026.100125},
}