There is an urgent need to develop a data infrastructure comprising autonomous synthesis and characterization platforms that can manage and analyze the heterogeneous datasets that will be produced at massive volumes and rapid rates.
An autonomous laboratory based on continuous flow chemistry will improve productivity and enable design, development, synthesis, and scaleup of advanced materials.
The ultimate goal of the project is to enable design of peptides with predictable functions. The capabilities we develop will be critical in advancing scientific discoveries in biology and other fields.
Argonne looks to exascale and beyond, sorting out the relationship between computing and experimental facilities, the need for speed and AI’s role in making it all work.