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Duke Materials Database to Power New AI-Driven Cloud Laboratory
['Ken Kingery', 'Stefano Curtarolo']
Duke Pratt School of Engineering
Over a decade of work pursued by Duke Engineering researchers to computationally predict recipes for useful materials will soon help fuel a new AI-driven cloud laboratory that will transform materials innovation.
Led by Georgia Tech, a new Programmable Cloud Laboratory will leverage AI, simulation and autonomous experimentation to dramatically accelerate the process of materials discovery.
The cloud laboratory will enable researchers nationwide to conduct AI-driven experiments using the Advanced Manufacturing Pilot Facility’s materials and manufacturing equipment.
His group has spent over a decade building and maintaining the Automatic-FLOW for Materials Discovery database, or aflow.org.
This rich platform will integrate computational discovery with physical experimentation to help researchers more rapidly identify, evaluate and manufacture promising new materials.