4.8 Review

Autonomous experimentation systems for materials development: A community perspective

期刊

MATTER
卷 4, 期 9, 页码 2702-2726

出版社

CELL PRESS
DOI: 10.1016/j.matt.2021.06.036

关键词

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资金

  1. University of Pennsylvania
  2. Air Force Research Laboratory, Materials & Manufacturing Directorate
  3. ACS Combinatorial Science
  4. NSF through the University of Pennsylvania Materials Research Science and Engineering Center (MRSEC) [DMR-1720530]
  5. DOE Office of Science User Facility [DE-AC02-05CH11231]
  6. Air Force Research Laboratory Air Force Office of Scientific Research (AFOSR) LRIR [19RXCOR322]
  7. NSF [CMMI-1661412]
  8. National Science Foundation [DMR1928882]
  9. Defense Advanced Research Projects Agency [HR001118C0036]
  10. Camille and Henry Dreyfus Foundation [TH-14-010]
  11. U.S. National Science Foundation [DMREF-1922234]
  12. U.S. Department of Energy Office of Basic Energy Sciences [DE-SC0020383]
  13. AFOSR [FA9550-18-1-0144]
  14. U.S. Department of Energy (DOE) [DE-SC0020383] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

Materials research and development are crucial for solving world problems, and the partnership between humans and robots can accelerate technological advancements. The new paradigm brings both challenges and opportunities, requiring collaborative efforts across academia, industry, government, and funding agencies.
Solutions to many of the world's problems depend upon materials research and development. However, advanced materials can take decades to discover and decades more to fully deploy. Humans and robots have begun to partner to advance science and technology orders of magnitude faster than humans do today through the development and exploitation of closed-loop, autonomous experimentation systems. This review discusses the specific challenges and opportunities related to materials discovery and development that will emerge from this new paradigm. Our perspective incorporates input from stakeholders in academia, industry, government laboratories, and funding agencies. We outline the current status, barriers, and needed investments, culminating with a vision for the path forward. We intend the article to spark interest in this emerging research area and to motivate potential practitioners by illustrating early successes. We also aspire to encourage a creative reimagining of the next generation of materials science infrastructure. To this end, we frame future investments in materials science and technology, hardware and software infrastructure, artificial intelligence and autonomy methods, and critical workforce development for autonomous research.

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