AI algorithms will help create devices to inspect ships and reactors
Scientists from Siberian Federal University, the L.V. Kirensky Institute of Physics of the Krasnoyarsk Scientific Center of the Siberian Branch of the Russian Academy of Sciences, and South China University of Technology have proposed an innovative way to search for scintillators - substances that effectively turn X-ray radiation into visible radiation. These materials are used, for example, to register radiation passed through light-conducting objects.
"The method is based on artificial radiation algorithms. It was hypothesized that a certain distance between metal atoms contributes to the brightness of the radiation. In the next step, the scientists gathered a database of 296 discovered organometallic compounds with known distances between metals and used it to train the AI. Then the program applied the identified dependencies to search for new compounds," said the developer, associate professor of the basic department of solid state physics and nanotechnology SFU and senior researcher at the laboratory of crystallophysics IF SB RAS Maxim Molokeev.
He added that as a result of neural network testing a number of promising scintillator compounds were found, which showed good characteristics and were suitable for instrumentation.
According to the scientist, the new materials will be in demand, in particular, in the creation of large screening equipment that will make it possible to inspect and control large objects - for example, ships, buses, subway cars, reactors and submarines.
Read more in Izvestia's exclusive article:
Complex control: AI will help create devices for inspecting ships and reactors
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