Optimizing the composition and improving the conflicting mechanical and electrical
properties of multiple complex alloys has always been difficult by traditional trial-and-error …

Traditional strategies for designing new materials with targeted property including methods
such as trial and error, and experiences of domain experts, are time and cost consuming. In …

Optimizing two conflicting properties such as mechanical strength and toughness or
dielectric constant and breakdown strength of a material has always been a challenge. Here …

Abstract Cu-Ni-Co-Si alloys have been regarded as a candidate for the next-generation
integrated circuits. Nevertheless, using the trial and error method to design high …

Two types of alloys, Cu-Ni-Co-Si and Cu-Cr-Zr, are considered candidate materials for next-
generation integrated circuits due to their superior comprehensive performance. However …

Copper alloys with high strength and electrical conductivity are ideal candidates for a wide
range of civilian and engineering applications. Traditional methods of alloy design, such as …

Abstract Machine learning-aided alloy design has recently attracted broad interest among
the materials science community. However, the prediction accuracy of general machine …

Precipitation-strengthened Cu alloys with high strength and conductivity (HSC) has become
widespread in the electronic and electrical industries. Although pure Cu exhibits high …

High strength and high electrically conductivity Cu-Ni-Si alloys are important candidate
materials for extending the life of currently used elastic-conductor materials. Phase …

Alloys designed with the traditional trial and error method have encountered several
problems, such as long trial cycles and high costs. The rapid development of big data and …