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ChemOS 2.0: An orchestration architecture for chemical self-driving laboratories
Malcolm Sim, Mohammad Ghazi Vakili, Felix Strieth‐Kalthoff, Han Hao, Riley J. Hickman, Santiago Miret, Sergio Pablo‐García, Alán Aspuru‐Guzik
University of Toronto Vector Institute Intel (United States) Canadian Institute for Advanced Research
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工程Innovative Microfluidic and Catalytic Techniques Innovation
Machine Learning in Materials Science · Scientific Computing and Data Management
参考文献 78
The Kyoto approach has failed
被引 58Dieter R. Helm · Nature · 2012
FireWorks: a dynamic workflow system designed for high‐throughput applications
被引 573Anubhav Jain, Shyue Ping Ong, Wei Chen · Concurrency and Computation Practice and Experience · 2015
Synthesis of many different types of organic small molecules using one automated process
被引 571Junqi Li, Steven G. Ballmer, Eric P. Gillis · Science · 2015
此处列出前 3 条
引用本文 84
Self-Driving Laboratories for Chemistry and Materials Science
被引 648Gary Tom, Stefan P. Schmid, Sterling G. Baird · Chemical Reviews · 2024
Autonomous chemistry: Navigating self-driving labs in chemical and material sciences
被引 93Oliver Bayley, Elia Savino, Aidan Slattery · Matter · 2024
Advancing materials discovery through artificial intelligence
被引 66Martin Otyepka, Martin Pykal, Michal Otyepka · Applied Materials Today · 2025
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