A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National ...

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Woven fabric is resilient to stress because it tends to bend more than rigid materials before breaking. Jordan Lye/Moment via Getty Images People have been using flat, ribbonlike materials, such as ...

Scientists are learning how to temporarily reshape materials by nudging their internal quantum rhythms instead of blasting ...

Today, a new multi-user materials science laboratory began its journey to the International Space Station, leaving NASA’s Marshall Space Flight Center in Huntsville, Ala., for NASA’s Kennedy Space ...

Materials science is a major priority in China, and underpins many growing industries, including advanced composites for wind turbines blades, next-generation semiconductors for solar cells, and ...

Funds to drive materials science research, build in-house IP, and double export markets to more than over 30 countries ...

CAPE CANAVERAL, Fla. – A multiuse materials science laboratory arrived Dec. 4 at NASA’s Kennedy Space Center, Fla., to begin the first leg of its journey to the International Space Station. The ...

Clathrate hydrates are complex water structures that contain foreign guest molecules inside a host water-molecule shell. A predicted clathrate hydrate phase structure has been stably synthesized in ...

Depth profiling techniques constitute a fundamental analytical approach in material science, enabling researchers to characterise the composition, structure and interfacial properties of complex ...

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