A new type of artificial-intelligence-driven chemistry could revolutionise the way molecules are discovered, scientists claim.<\/p>\n
In a new paper published today in the journal Nature<\/em>, chemists from the University of Glasgow<\/a><\/span> discuss how they have trained an artificially-intelligent organic chemical synthesis robot to automatically explore a very large number of chemical reactions.<\/p>\n Their \u2018self-driving\u2019 system, underpinned by machine learning algorithms, can find new reactions and molecules, allowing a digital-chemical data-driven approach to locating new molecules of interest, rather than being confined to a known database and the normal rules of organic synthesis.<\/p>\n The result could be a decreased cost for discovering new molecules for drugs, new chemical products including materials, polymers, and molecules for high tech applications like imaging.
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