Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering …

The history of machine learning (ML) can be traced back to the 1950 s, and its application in
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …

Cu alloys with high strength, high electrical conductivity (EC) and good softening resistance
(SR) are urgently needed in many fields. A Cu-1.06 wt% Fe-0.44 wt% Ti alloy was designed …

The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …

With growing environmental and ecological concerns, innovative energy storage systems
are urgently required to develop smart grids and electric vehicles (EVs). Since their …

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

It is urgent to discover new functional materials quickly, but experimental research is a huge
challenge to search for target materials from the vast chemical space. Here, we propose a …

Grain size is the critical characteristic of ultra-fine grain Magnesium (Mg), which is a concrete
representation of the whole heat deformation procedure. In this paper, a design strategy was …

Superhard materials are among the most scarce functional inorganic solids in existence.
Indeed, recent research suggested that less than 0.1% of all known materials are likely to …

The integration of innovative technologies creates a circular economy (CE) system that
enhances the value and legitimacy of their trade. Recently, many global industries have …