Combining materials science, artificial intelligence (AI), physical chemistry, and other
disciplines, materials informatics is continuously accelerating the vigorous development of …

Abstract Machine learning approaches (ML) based on data-driven models are conducive to
accelerating the assessments of the martensitic transformation peak temperature (T p) of …

Materials for the next generation of electric power infrastructure will be subject to harsh
service environments featuring extreme levels of stress, temperature, irradiation, and …

Surface integrity is a critical factor that affects the fatigue resistance of materials. A surface
mechanical rolling treatment (SMRT) process can effectively improve the surface integrity of …

Efficient microstructure design can strongly accelerate the development of materials.
However, the complexity of the microstructure–behavior relation renders the criticalities and …

In this paper, we develop an explainable artificial intelligence (XAI) approach to rapidly
predict and explain the temperature-dependent yield strength (YS) trends of as-cast multi …

MnCoGe-based alloys represent promising candidates for magnetic refrigeration due to their
advantageous Curie temperature and structural transition temperature near room …

The ternary transition metal boride Fe2AlB2 is a unique ferromagnetic “MAB” phase that
demonstrates a sizable magnetocaloric effect near room temperature—a feature that …

Ferromagnetic single crystalline MnNiSi samples were first fabricated through a Sn-flux
growth technique, followed by measurements of their structural characteristics and intrinsic …

Understanding the behavior of magnetocaloric materials when exposed to high-energy x-ray
irradiation is pivotal for advancing magnetic cooling technologies under extreme …