AI predicts properties of molten salts for modeling safer and more sustainable nuclear power reactors

Researchers from Skoltech and the Institute of High Temperature Electrochemistry of UB RAS have developed and tested a model based on machine learning that predicts the properties of molten salts. These compounds are already used in metallurgy and hold promise for resolving the problem of mounting nuclear waste.