ModelFLOWs is a research group at Universidad Politécnica de Madrid (Spain), School of Aerospace Engineering, specializing in data analysis, reduced order modeling, machine learning, artificial intelligence and computational fluid dynamics (CFD). Our mission is to develop innovative solutions with real-world impact, particularly in reducing air pollution and advancing personalized medicine.
We are committed to open science and education. Whether you’re a Master’s or PhD student looking to deepen your knowledge or a senior researcher exploring new methodologies, our resources are designed to support you.
Explore Our Resources
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Notebooks & Code: Hands-on notebooks showcasing our research methodologies.
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Tutorials & YouTube Channel: Step-by-step guides and video explanations of our latest advancements.
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ModelFLOWs-app: Our open-source software for data post-processing, pattern identification, and reduced order modeling. This tool leverages modal decomposition and deep learning architectures to analyze complex datasets efficiently.
- Available as a desktop application and a web-browser version built with Streamlit.
- The web-browser version is designed for educational purposes, providing a limited-functionality demo to explore the tool’s capabilities.
- The desktop application is fully equipped for real research and allows you to process your own datasets.
- Find installation & setup guides in the Software menu.
- Explore advanced video tutorials explaining the mathematical foundations of each module with practical examples.
Join us in pushing the boundaries of computational modeling and data-driven science!