Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Workflow behind the MPT model. In this approach, the model learns from various material properties simultaneously in an initial training phase, followed by fine-tuning on the target property data.

The BBVA Foundation has awarded the Frontiers of Knowledge Award in Basic Sciences to physicists Allan MacDonald (Canada) and ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...

(Nanowerk Spotlight) The materials we interact with every day—whether they are steel, glass, or rubber—have properties like strength, flexibility, or brittleness that stem from their chemical ...

Floquet control uses time-periodic drives to engineer quantum systems, creating dynamic changes in material properties ...

Whereas electronics uses the charge of the electron to transfer information, technology of the future with less environmental impact might use a different property of electrons to process information.

In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...