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 ...

Overall Count and Share for 'Center for Computational Materials Science (CMS)' based on the 12-month time frame mentioned above. Note: Articles may be assigned to more than one subject area, as a ...

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

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

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

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, ...

This workshop on Autonomous Materials Science will discuss where the weak links are in future systems that will reduce, and eventually eliminate, the need for human intervention in the design and ...

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 ...

Modeling and creating simulations are key skills in any math, science or engineering profession. That’s why we’ve created a unique, interdisciplinary computational science minor. This minor gives ...

UT Austin student Alexia Hartzell has been named a recipient of the prestigious Department of Energy award. Alexia Hartzell, a student studying physical chemistry at The University of Texas at Austin, ...