Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...

IIT Guwahati researchers, with UK collaborators, have used Machine Learning to design advanced, high-performance metal alloys without relying on Critical Raw Materials (CRMs), creating a sustainable ...

A team of researchers has developed a machine learning–based method to design advanced metal alloys without relying on critical raw materials, offering a potential breakthrough for sustainable ...