Robots Outperform Humans in Chemistry Research
Researchers from the University of Liverpool demonstrated in a study published in the journal Nature how mobile robots that make decisions using artificial intelligence (AI) logic could complete exploratory chemistry research tasks just as well as humans but much more quickly.
Researchers created mobile robots powered by AI that are incredibly efficient at conducting chemical synthesis research. The Liverpool team created the 1.75-meter-tall mobile robots to address three main exploratory chemistry challenges: carrying out the reactions, evaluating the products, and making decisions based on the data.
Together, the two robots tackled problems in three distinct areas of chemical synthesis: supramolecular host-guest chemistry, photochemical synthesis, and structural diversification chemistry, which is important for drug discovery.
According to the findings, the mobile robots using the AI function made decisions that were identical to or similar to those made by a human researcher, but they did so much more quickly—hours even—than a human could. Chemical synthesis research is time consuming and expensive, both in the physical experiments and the decisions about what experiments to do next so using intelligent robots provides a way to accelerate this process.
Decision-making is a critical issue in exploratory chemistry. For example, a researcher could execute several trial reactions before deciding to scale up only those that produce high reaction yields or interesting products. This is difficult for AI to do because whether something is 'interesting' and worth pursuing can take many forms, such as the novelty of the reaction product or the cost and complexity of the synthetic route.
The Liverpool team hopes to use this technology in the future to find new materials for applications like carbon dioxide capture and chemical reactions related to pharmaceutical drug synthesis. The study employed two mobile robots, but the number of robot teams that could be employed is unlimited. This method could, therefore, be applied to the largest industrial laboratories.
This new study expands on Professor Cooper's group's 2020 description of the world’s first “mobile robotic chemist". Over eight days, the team worked around the clock to complete nearly 700 catalysis experiments. The project was funded by the European Research Council, the Engineering and Physical Sciences Research Council, and the Leverhulme Trust.
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