| Abstract Scope |
AI-powered Autonomous Experimentation pioneered by AFRL are revolutionizing materials and chemistry R&D, creating “Self-Driving Labs” (SDLs) that are 10X-100X faster, better, and more productive than human-only approaches.
HEAs present a particular problem of large compositional search space, along with difficult-to-obtain automated mechanical response needed for SDLs. Other example SDLs for additive manufacturing, chemistry, and CVD will be also presented.
We will show progress at the national level towards the Autonomous Innovation Infrastructure (AMII) identified by the Materials Genome Initiative (MGI) to fill gaps in the existing infrastructure for Autonomous Experimentation and Self-Driving Labs.
More broadly, the changing roles of human and AI scientists as SDLs advance, along with the implications of these developments will be discussed. |