AI-Driven Robotic Laboratories Show Promise

• 作者: Sean O'Neill
• 来源期刊: 工程（英文）
• 年，卷（期）: 2021,（10）
• 所属期刊栏目: News & Highlights
• 页码范围: 1351-1353
• 页数: 3页
• 语种: 英文

摘要

Elaborate proof-of-principle experiments in several laboratories around the world have recently offered glimpses of a future in which high-throughput automatic laboratories guided by artificial intelligence(AI)might enhance the process for discovery of new materials,such as those for clean energy technologies.And in chemical engineering,using AI to aid in synthesis planning and performance offers the prospect of scientists needing little more than an idea and an internet connection to generate novel mole-cules in state-of-the-art,remote laboratories. Announced in August 2020,International Business Machine Corporation(IBM)'s RoboRXN for Chemistry provides a high-profile example of the potential for combining AI and laboratory automa-tion[1].The system not only provides chemical recipes to produce organic molecules of interest but can also synthesize those mole-cules automatically using commercially available hardware-in the case of IBM's demonstrator,a Flex-category automated-synthe-sis workstation(Fig.1)manufactured by Chemspeed Technologies(Füllinsdorf,Switzerland).