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New strategy for assessing the applicability of reactions
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Chemists often develop and optimise ne w chemical reactions using so-called modelsystems, i.e. simple, easily accessib le substrates. They then use up to around 100 other substrates asexamples to sh ow that the reaction works. This demonstration of versatile applicability is cal led “scope”in technical jargon. However, a subjective selection of substrates o ften results in a distorted picture ofthe range of applications of the newly de veloped reaction. It is often unclear whether it can be used tosynthesise a des ired product. To address this problem, a team led by chemist Prof Frank Glorius from theUniversity of Munster (Germany) is proposing a computer-aided, bias-fre e method for selecting the modelsubstrates to evaluate new chemical reactions.
CyborgsEmerging TechnologiesMachine LearningUniversity of Munster
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