Self-Driving Laboratories for Chemistry and Materials Science,Chemical Reviews

当前位置： X-MOL 学术 › Chem. Rev. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews ( IF 51.4 ) Pub Date : 2024-08-13 , DOI: 10.1021/acs.chemrev.4c00055
Gary Tom _{1,

2,

3} , Stefan P Schmid ₄ , Sterling G Baird ₅ , Yang Cao _{1,

2,

5} , Kourosh Darvish _{2,

3,

5} , Han Hao _{1,

2,

5} , Stanley Lo ₁ , Sergio Pablo-García _{1,

2} , Ella M Rajaonson _{1,

3} , Marta Skreta _{2,

3} , Naruki Yoshikawa _{2,

3} , Samantha Corapi ₁ , Gun Deniz Akkoc _{6,

7} , Felix Strieth-Kalthoff _{1,

2,

8} , Martin Seifrid _{1,

2,

9} , Alán Aspuru-Guzik _{1,

2,

3,

5,

10,

11,

12}

Affiliation

Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario M5S 3H6, Canada.
Department of Computer Science, University of Toronto, 40 St. George St, Toronto, Ontario M5S 2E4, Canada.
Vector Institute for Artificial Intelligence, 661 University Ave Suite 710, Toronto, Ontario M5G 1M1, Canada.
Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, CH-8093 Zurich, Switzerland.
Acceleration Consortium, 80 St. George St, Toronto, Ontario M5S 3H6, Canada.
Forschungszentrum Jülich GmbH, Helmholtz Institute for Renewable Energy Erlangen-Nürnberg, Cauerstr. 1, 91058 Erlangen, Germany.
Department of Chemical and Biological Engineering, Friedrich-Alexander Universität Erlangen-Nürnberg, Egerlandstr. 3, 91058 Erlangen, Germany.
School of Mathematics and Natural Sciences, University of Wuppertal, Gaußstraße 20, 42119 Wuppertal, Germany.
Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States of America.
Department of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada.
Department of Materials Science & Engineering, University of Toronto, Toronto, Ontario M5S 3E4, Canada.
Lebovic Fellow, Canadian Institute for Advanced Research (CIFAR), 661 University Ave, Toronto, Ontario M5G 1M1, Canada.

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold the potential to greatly accelerate research in chemistry and materials discovery. This review provides an in-depth analysis of the state-of-the-art in SDL technology, its applications across various scientific disciplines, and the potential implications for research and industry. This review additionally provides an overview of the enabling technologies for SDLs, including their hardware, software, and integration with laboratory infrastructure. Most importantly, this review explores the diverse range of scientific domains where SDLs have made significant contributions, from drug discovery and materials science to genomics and chemistry. We provide a comprehensive review of existing real-world examples of SDLs, their different levels of automation, and the challenges and limitations associated with each domain.

中文翻译：

化学和材料科学自动驾驶实验室

自动驾驶实验室 (SDL) 有望加速科学方法的应用。通过实验工作流程的自动化以及自主实验规划，SDL 具有极大加速化学和材料发现研究的潜力。本综述深入分析了 SDL 技术的最新技术、其在各个科学学科中的应用以及对研究和行业的潜在影响。此评论还概述了 SDL 的支持技术，包括其硬件、软件以及与实验室基础设施的集成。最重要的是，这篇综述探讨了 SDL 做出重大贡献的各种科学领域，从药物发现和材料科学到基因组学和化学。我们对 SDL 的现有实际示例、其不同的自动化级别以及与每个领域相关的挑战和限制进行了全面审查。

更新日期：2024-08-13

点击分享查看原文

点击收藏

公开下载

阅读更多本刊新发论文本刊介绍/投稿指南