By how much can closed-loop frameworks accelerate computational materials discovery?
A combination of task automation, calculation runtime improvements, machine learning surrogatization, and sequential learning-guided candidate selection within a closed-loop computational workflow can accelerate materials discovery by up to 20×.
Kavalsky, Lance↗