Machine learning accelerates discovery of high-temperature alloys

In a study recently published in Engineering, scientists from the University of Science and Technology Beijing, Guangdong Ocean University, and AiMaterials Research LLC have demonstrated a novel method to accelerate the discovery of refractory high-entropy alloys (RHEAs) compositions optimized for extreme conditions.