A research group from the Skoltech Energy Center and the Zelinsky Institute of Organic Chemistry (Russian Academy of Sciences) led by Professor Valentin Ananikov developed a unique machine learning-based search engine for analyzing vast amounts of high-resolution mass spectrometry data. The search engine is capable of analyzing data from different fields of chemistry, leading to the discovery of new reactions, catalysts, and mechanisms. It would take hundreds of years to manually process such a large amount of information, but new AI-based algorithms can conduct the analysis in just a few days. Don’t miss more information on the new study on TASS (RUS), CNews (RUS), Ferra (RUS), and Phys.org (ENG).
