Building large-scale quantum technologies requires reliable ways to connect individual quantum bits (qubits) without ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Computational homogenization has emerged as an indispensable tool for bridging the gap between the microscale heterogeneity of composite materials and their macroscopic behaviour. By employing ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

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 ...

Faculty conducting research in these areas focus on synthesis of novel materials, the use of novel materials for separations and coatings, computational modeling, and simulation of chemical and ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

Northwestern Engineering’s Chris Wolverton has been named a fellow of the Materials Research Society for his pioneering work in computational materials science for materials design and discovery, ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

(Nanowerk Spotlight) Computational calculations are revolutionizing modern scientific research, offering a powerful means to predict the potential applications of new materials. Unlike traditional ...

Multi-material 3D printing combines the functional properties of different materials (e.g., mechanical, electrical, color) within a single object that is fabricated without manual assembly. However, ...