Accelerating Materials Development with Uncertainty-Aware Sequential Learning

E. Kim
Citrine Informatics,
Canada

Keywords: sequential learning, AI

Summary:

An ever-changing market necessitates unprecedented levels of agility for today’s materials manufacturers. Consequently, the success of a materials development program is deeply linked to the speed of experimental design, prototyping, and testing. In this talk, uncertainty-aware sequential learning will be discussed as a key technological development towards accelerating the path towards new advanced materials. Case studies involving the combination of AI, scientific domain expertise, and real-time laboratory feedback will be explored.