A neural network is being created in Russia for the design of catalysts

Russian researchers are working on solutions based on artificial intelligence tools that will help design efficient catalytic systems. Valentin Ananikov, Academician of the Russian Academy of Sciences, Head of the laboratory of the Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences, told Izvestia about this in an interview.

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"Our country is currently facing the task of developing micro-tonnage chemistry as soon as possible. It produces up to 100 tons of products per year. To create them, it is necessary in a short time to develop technologies for obtaining a large number of various chemicals in these marketable quantities. It is very difficult to do this in a short time using traditional means, but, for example, thanks to artificial intelligence tools, it is possible to start developing effective catalysts," the scientist explained.

Ananikov noted that currently about 80% of industrial processes are based on catalytic systems. According to him, up to 35% of the world's total GDP is generated using catalysts, but their development is a complex and expensive process.

The academician stressed that a country that creates neural networks for accurate prediction of catalytic processes will make a significant technological breakthrough.

Read more in an exclusive interview with Izvestia:

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