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

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Multivariate porous materials (MTV) are like a "collection of Lego blocks," allowing for customized design at a molecular level to freely create desired structures. Using these materials enables a ...

If large-scale datasets of experimental data can be built through this approach, it is expected to enable researchers to gain ...