One of the key steps in developing new materials is property identification, which has long relied on massive amounts of ...

Chinese scientists have developed a self-adaptive interphase in all-solid-state lithium batteries that maintains intimate ...

Solid-state batteries could revolutionize EVs with 1,200 km range and no fire risk. Find out if they’re the future of energy ...

The body of work on infection prevention in schools and offices is logically grouped into three branches: surfaces and ...

Targeted drug delivery is a powerful and promising area of medicine. Therapies that pinpoint precise areas of the body can ...

Scientists have developed a groundbreaking battery recycling method that uses a cell's own stored energy to recover key ...

Gopalakrishnan and his team have studied how to boost the movement of ions in magnesium batteries, which can have a higher ...

Your car's interior can hit 160°F in the summer, but does venting the windows actually help? This systematic test of the ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

A new material might contribute to a reduction of the fossil fuels consumed by aircraft engines and gas turbines in the ...

Kyoto Fusioneering is developing two next-generation breeder-blanket structural materials. One is a family of vanadium alloys ...

Roache-Turner’s new movie, Beast of War, dips its toes in the confluence where world history and film history meet, being ...