Impactful Materials Science
Autonomous discovery, development and deployment using AI, data analytics, robotics, and high-performance computing
Push key technologies, disseminate know-how and train next-generation of energy-materials-intelligence experts
Connecting infrastructure in leading German-Canadian partner organizations and associated universities
Accelerating Discovery of Energy Materials
German-Canadian materials acceleration center (GC-MAC) amalgamates research communities in Germany and Canada on a topic of utmost strategic importance: harnessing artificial intelligence and advanced machine learning to accelerate the discovery, design, device integration, and demonstration of materials for sustainable energy technologies.
Supporting the growth of materials acceleration platforms (MAPs), the Centre will assist in aligning approaches and directions; promote common methods, standards, and collaborative actions; and establish a new regimen for the training of scientists and engineers who will lead future developments at the interface of materials science, energy technology and information science.
At a Glance
5 materials challenges
Key challenges in electrocatalysis, ionic media, interfaces and electrodes, porous transport media, and materials to devices.
20+ associated experts
World renown experts in electrocatalyst materials, ionic media, electrode and cell fabrication, porous media, and electrochemical energy devices.
5 technical work packages
- Theory and multiscale modeling
- Autonomous robotics platforms (MAPs)
- AI-driven design and advanced simulations
- Characterization and fabrication technologies
- AI-based data handling and workflow optimization
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts separated.