Autonomous experimentation systems for materials development: A community perspective
| Autor: | Eli Rotenberg, Kristofer G. Reyes, Ian Foster, Tonio Buonassisi, Joseph Montoya, Keith A. Brown, Jason R. Hattrick-Simpers, Simon J. L. Billinge, Apurva Mehta, Chiwoo Park, Sylvia Smullin, Carla P. Gomes, A. Gilad Kusne, Brian L. DeCost, Semion K. Saikin, Eric A. Stach, Elsa Olivetti, John M. Gregoire, Joshua Schrier, Benji Maruyama, Valentin Stanev |
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| Rok vydání: | 2021 |
| Předmět: |
Engineering
Government business.industry media_common.quotation_subject Perspective (graphical) Community perspective Workforce development Engineering management SPARK (programming language) Frame (artificial intelligence) Robot General Materials Science business computer Autonomy computer.programming_language media_common |
| Zdroj: | Matter. 4:2702-2726 |
| ISSN: | 2590-2385 |
| Popis: | Summary 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. |
| Databáze: | OpenAIRE |
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