AI4Materials NP Challenge Winners Announced
The winning teams for the AIS25 AI4Materials NP Challenge have been identified. This challenge aims to accelerate the discovery and optimization of advanced materials, particularly nanoparticles, which are crucial for Power-to-X technologies supporting the green transition.
Winning Teams and Institutions
The following individuals have been recognized for their outstanding contributions:
- Filippo Bigi and Cesare Malosso from the COSMO group of Prof. Michele Ceriotti, École Polytechnique Fédérale de Lausanne (EPFL).
- Ilyes Batatia from the group of Prof. Gábor Csányi, Cambridge University, and the Max Planck Institute for Polymer Research (MPIP).
Stage 2 of the Competition
The winning teams will proceed to Stage 2 of the competition, gaining access to the Danish DCAI NVIDIA GPU supercomputer Gefion. This phase will involve utilizing unique computational and experimental datasets to further develop and train their models.
The objective is to predict experimentally observable outcomes in nanoparticle synthesis from synchrotron experiments.
This initiative marks the first time machine learning models will be optimized to directly predict experimental nanoparticle synthesis conditions.
CAPeX Perspective
Tejs Vegge, Director of CAPeX, stated that achieving CAPeX's goals for scalable Power-to-X solutions requires the development of faster and more accurate machine learning models through global collaboration. He indicated that competitions like the AIS25 AI4Materials NP Challenge provide such opportunities.
Vegge also highlighted that combining AI-driven approaches with large FAIR datasets and cross-border research infrastructure can shorten the time from discovery to industrial application, reduce material discovery costs, and enhance Europe's green transition and competitiveness.