High-throughput simulation combined machine learning search for optimum elemental composition in medium entropy alloy

In medium/high entropy alloys, their mechanical properties are strongly dependent on the chemical-elemental composition. Thus, searching for optimum elemental composition remains a critical issue to maximize the mechanical performance. However, this issue solved by traditional optimization process via “trial and error” or experiences of domain experts is extremely difficult. Here we propose an approach based on high-throughput simulation...