Predicting the optimum compositions of high-performance Cu–Zn alloysviamachine learning

Volume: 35, Issue: 20, Pages: 2709 - 2717
Published: Sep 21, 2020
Abstract
In the alloy materials, their mechanical properties mightly rely on the compositions and concentrations of chemical elements. Therefore, looking for the optimum elemental concentration and composition is still a critical issue to design high-performance alloy materials. Traditional alloy designing method via “trial and error” or domain experts’ experiences is barely possible to solve the issue. Here, we propose a “composition-oriented” method...
Paper Details
Title
Predicting the optimum compositions of high-performance Cu–Zn alloysviamachine learning
Published Date
Sep 21, 2020
Volume
35
Issue
20
Pages
2709 - 2717
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