期刊
MRS BULLETIN
卷 44, 期 4, 页码 273-280出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1557/mrs.2019.75
关键词
alloy; microstructure
资金
- Stanford Linear Accelerator Center by the US Department of Energy (DOE) Advanced Manufacturing Office [FWP 100250]
- Air Force Research Laboratory
- Sandia's Laboratory Directed Research and Development program
- US DOE's National Nuclear Security Administration [DE-NA0003525]
Historically, the advent of robotics has important roots in metallurgy. The first industrial robot, Unimate, was used by General Motors to handle hot metal- transporting die castings and welding them to an automotive body. Now, nearly 60 years later, metallurgical use of robotics is still largely confined to automation of dangerous, complex, and repetitive tasks. Beyond metallurgy, the field of autonomy is undergoing a renaissance, impacting applications from pharmaceuticals to transportation. In this article, we review the emerging elements of highthroughput experimental automation, which, when combined with artificial intelligence or machine- learning systems, will enable autonomous discovery of novel alloys and process routes.
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