Progress and prospects for accelerating materials science with automated and autonomous workflows.

ABSTRACT: Accelerating materials research by integrating automation with artificial intelligence is increasingly recognized as a grand scientific challenge to discover and develop materials for emerging and future technologies. While the solid state materials science community has demonstrated a broad range of high throughput methods and effectively leveraged computational techniques to accelerate individual research tasks, revolutionary acceleration of materials discovery has yet to be fully realized. This perspective review presents a framework and ontology to outline a materials experiment lifecycle and visualize materials discovery workflows, providing a context for mapping the realized levels of automation and the next generation of autonomous loops in terms of scientific and automation complex

SUBMITTER: Stein HS 

PROVIDER: S-EPMC7020936 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature