Specialists of the Department of Computational Physics of the Institute of Physics of Kazan Federal University (KFU), with the support of the Russian Science Foundation, developed an innovative methodology for determining the strength of amorphous metal alloys based on the use of artificial intelligence. It has been reported TASS.
The Ministry of Science and Higher Education of the Russian Federation emphasized that this technology can help not only determine the properties of alloys, but also design new ones.
“We trained artificial neural networks to analyze the composition of already known metal alloys with their strength properties – elastic modulus, yield strength, tensile strength and others – and to find a correlation between these properties and physicochemical properties. Head of the Department of Computational Physics and Modeling of Physical Processes at the KFU Institute of Physics. “The elements contained in the composition of the alloy,” said Anatoly Mokshin.
Ancient Russian scientists developed A method of evaluating the strength of alloys using a neural network.
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