Autonomous experimentation systems for materials development: A community perspective
Autonomous experimentation systems for materials development: A community perspective
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DOI：
10.1016/j.matt.2021.06.036
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
E. Stach;Brian L. DeCost;A. Kusne;J. Hattrick-Simpers;Keith A. Brown;Kristofer G. Reyes;Joshua Schrier;S. Billinge;T. Buonassisi;Ian T Foster;Carla P. Gomes;J. Gregoire;Apurva Mehta;Joseph H. Montoya;E. Olivetti;Chiwoo Park;E. Rotenberg;S. Saikin;S. Smullin;V. Stanev;B. Maruyama
中科院分区：
文献类型：
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作者：
E. Stach;Brian L. DeCost;A. Kusne;J. Hattrick-Simpers;Keith A. Brown;Kristofer G. Reyes;Joshua Schrier;S. Billinge;T. Buonassisi;Ian T Foster;Carla P. Gomes;J. Gregoire;Apurva Mehta;Joseph H. Montoya;E. Olivetti;Chiwoo Park;E. Rotenberg;S. Saikin;S. Smullin;V. Stanev;B. Maruyama
世界上许多问题的解决取决于材料的研究和开发。然而，先进的材料可能需要几十年才能发现，而完全部署则需要几十年。人类和机器人已经开始合作，通过开发和利用闭环自主实验系统，以比人类更快的速度推进科学和技术的发展。这篇评论讨论了与材料发现和开发相关的具体挑战和机遇，这些挑战和机遇将从这种新的范式中出现。我们的观点结合了学术界，工业界，政府实验室和资助机构的利益相关者的投入。我们概述了目前的状况，障碍和所需的投资，最终提出了前进道路的愿景。我们打算这篇文章引发兴趣，在这个新兴的研究领域，并通过说明早期的成功激励潜在的从业者。我们还希望鼓励对下一代材料科学基础设施进行创造性的重新构想。为此，我们制定了未来在材料科学和技术、硬件和软件基础设施、人工智能和自主方法以及自主研究关键劳动力开发方面的投资。
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.