About the Challenge
Chaotic systems are notoriously difficult to model and predict. In this challenge, you will develop machine learning approaches to model the Lorenz system, a classic example of deterministic chaos with applications across weather prediction, fluid dynamics, and beyond.
Advance research on modeling complex dynamical systems with applications across energy and beyond. The challenge has now concluded — congratulations to the winners! See the full results.
Getting Started
The challenge is hosted on Kaggle as part of the CTF-4-Science initiative. Visit the competition page to access the dataset.
Timeline
Note: A paper submission is required to be eligible for a talk at the workshop.
How to Submit
- Compete on the Kaggle competition
- Write a short paper (up to 4 pages) describing your approach
- Submit your paper to the Chaotic Systems track on HotCRP
- Include a link to your Kaggle submission or code repository
Prizes
The contest awarded $1000 in prizes, and top submissions were presented at the AI-DEEDS 2026 workshop at ACM e-Energy.
See the final results and papers.