Russian scientists have found a way to select the ideal alloying additive composition for iron and rhodium alloys that can be used in magnetic cooling units. According to the press service of the AIRI Institute of Artificial Intelligence, the new method is based on quantum mechanical calculations and machine learning, which makes it possible to analyze how the addition of a third element affects the properties of alloys.
The study was carried out by a group led by Arthur Kadurin from the AIRI Institute and Moscow State University. The scientists were able to calculate how the energy and thermodynamic properties of the alloy changed when 16 different alloying additives were added in concentrations ranging from 1.5% to 5%. They highlighted that iron-rhodium alloys have unique magnetic properties that make them useful for creating magnetic refrigerators and drug delivery systems.
Now, thanks to new algorithms, scientists can predict which atom is best to use for doping. This will allow them to accurately determine how the magnetic properties of the alloy will change depending on the additives, which will speed up the process of developing new materials. Kadurin noted that the method shows a good balance between accuracy and cost and will be useful to many specialists, including physicists and biologists.
Source: Ferra
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