Entropy-related phase stabilization can allow compositionally complex solid solutions of
multiple principal elements. The massive mixing approach was originally introduced for …

In order to modify the mechanical and magnetic characteristics of high-entropy alloys
(HEAs), phase transformation has been extensively studied. However, the impact of phase …

The oil and gas industry is witnessing a paradigm shift in corrosion detection, inspection
methodologies, and maintenance practices due to the integration of advanced technologies …

Machine learning, as a significant branch of artificial intelligence, has provided effective
guidance for material design by establishing virtual mappings between data and desired …

While large language models learn sound statistical representations of the language and
information therein, ontologies are symbolic knowledge representations that can …

Atmospheric corrosion of metallic parts is a widespread materials degradation phenomena
that is challenging to predict given its dependence on many factors (eg environmental …

This work employed the “dissolution-diffusion-deposition” model to quantitatively describe
the effect of N-Mo synergism on passivation process. The model was optimized by …

Developing algorithmic methodologies for the rational design of environmental functional
materials enables targeted approaches to environmental challenges. Novel machine …

Consolidating published research on aluminum alloys into insights about microstructure–
property relationships can simplify and reduce the costs involved in alloy design. One critical …

Efficiently designing lightweight alloys with combined high corrosion resistance and
mechanical properties remains an enduring topic in materials engineering. Due to the …