03
Feb
Researchers at the Indian Institute of Technology Guwahati, collaborating with various universities, have developed a machine learning-based approach for creating advanced metal alloys that exclude Critical Raw Materials (CRMs). This method is aimed at identifying sustainable, high-performance alloys less reliant on fragile supply chains. High-Entropy Alloys (HEAs), which balance multiple metals in their composition, have emerged as promising alternatives to traditional alloys, often used in critical industries like aerospace and nuclear power. However, many HEAs utilize CRMs, which present challenges due to their limited availability and environmental impact. To tackle this issue, the team formulated a machine learning-assisted framework that…
