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, ...
Asianet Newsable on MSN
IIT-G develops ML method to design advanced alloys without critical raw materials
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 ...
Gene regulation is far more predictable than previously believed, scientists conclude after developing the deep learning ...
Understanding the LeRobot Simulation Ecosystem So, you’re curious about what makes LeRobot tick, right? It’s not just ...
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