What is the Challenge?
Participants will develop machine learning models to predict synthesis conditions for nanoparticles, enabling autonomous synthesis at world-class facilities like MAX IV in Sweden. This initiative pushes the boundaries of AI-driven materials science and strengthens Europe’s leadership in sustainable advanced materials.
Competition Timeline
Stage 1: Open now — Deadline: December 15, 2025 (12:00 CET)
- Work with the AuNP1000 dataset to train your models.
- View full details & register
Stage 2: Starts January 9, 2026
- High-risk predictions using the NPsolve12M dataset (>12 million data points).
Why Join?
- Access to Gefion Supercomputer with up to 512 NVIDIA H100 GPUs and the latest B300 GPUs (via NNF grant).
- Winning teams will synthesize their predicted nanoparticles at MAX IV.
- Exclusive computational and experimental training sets.
Ready to push the frontiers of AI4Materials?
Join the Challenge Now