---
license: apache-2.0
task_categories:
- tabular-regression
tags:
- physics
- computational-fluid-dynamics
- cfd
- thermofluid
- physics-informed-machine-learning
- neural-operator
- pinn
pretty_name: ThermoFluid Demo Dataset
size_categories:
- n<1K
---

# ThermoFluid Demo Dataset

## Overview

A demonstration dataset for thermofluid physics AI models.

This dataset provides simulation-based field data for testing
physics-informed machine learning, neural operators, and
physics foundation models.

Currently, the dataset contains simulation-based CFD field variables including:

- velocity
- pressure
- temperature

## Data Format

Each CSV file contains spatial field information:

| Variable | Description |
|---|---|
| x | Spatial x-coordinate |
| y | Spatial y-coordinate |
| u | Velocity x-component |
| v | Velocity y-component |
| pressure | Pressure field |
| temperature | Temperature field |

## Dataset Structure

```
thermofluid-demo/
├── README.md
├── metadata.csv
└── data/
    ├── case_0001.csv
    ├── case_0002.csv
    └── case_0003.csv
```

## Parameters

Each simulation case includes operating conditions:

- Reynolds number (Re)
- Prandtl number (Pr)
- Inlet velocity
- Inlet temperature

## Applications

This dataset can be used for:

- Physics-informed neural networks (PINNs)
- Neural operators (FNO, DeepONet)
- Physics transformers
- Thermofluid foundation models
- CFD surrogate modeling

## Version

### v0.1 - Initial demonstration dataset

Contents:
- 3 simulation cases
- Velocity, pressure, and temperature fields
- Tabular CFD representation

## License

Apache License 2.0