Self-Driving Lab and Automation Processes
Automation Processes and Self-Driving Labs (SDLs) will play a crucial role in materials sciences.
The research at INT in this area aims at speeding up and standardizing chemical reactions. This will help in finding much-needed novel materials for example for nanotechnology and energy-storage systems.
Development of novel AI-based approaches to automated data analysis and autonomous decision-making, aiming to push the boundary from accelerated optimization to autonomous discovery.
Accelerated materials discovery through high-throughput synthesis, automated characterization, and ML/AI-driven analysis.
Employment of automated synthesis robots for high-throughput reactions and analysis
The HELMHOLTZ Accelleration Alliance (HELMA) will combine AI and ML techniques with self-driving labs to find innovative materials for health, communication, and energy technologies.