AI and Robotics Speed Up the Search for New Solar Cell Materials
RISE collaborates with Uppsala University to apply active learning and Gaussian process regression to accelerate the discovery of new solar cell materials using robotic, self-driving labs.
AI is rapidly transforming how materials are discovered and understood. RISE collaborates with Uppsala University to apply active learning and Gaussian process regression to accelerate the discovery of new solar cell materials.
Self-Driving Labs
A robotic, self-driving lab automatically selects and conducts experiments using Bayesian optimization, reducing the number of trials needed to identify promising compounds.
Impact
This approach demonstrates how automation, machine learning, and intelligent exploration can push the frontiers of materials science, shortening the path from hypothesis to discovery.
