An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials.

ABSTRACT: We present an autonomous chemical synthesis robot for the exploration, discovery, and optimization of nanostructures driven by real-time spectroscopic feedback, theory, and machine learning algorithms that control the reaction conditions and allow the selective templating of reactions. This approach allows the transfer of materials as seeds between cycles of exploration, opening the search space like gene transfer in biology. The open-ended exploration of the seed-mediated multistep synthesis of gold nanoparticles (AuNPs) via in-line ultraviolet-visible characterization led to the discovery of five categories of nanoparticles by only performing ca. 1000 experiments in three hierarchically linked chemical spaces. The platform optimized nanostructures with desired optical properties by combi

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC9544322 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature