It’s energy...in motion!Hello parents, teachers and students! Today’s experiment is all about potential and kinetic energy.

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.

Discover the amazing properties of water's surface tension as you make metal paper clips float on water. You'll learn about the forces that hold water molecules together and how insects like water ...

PagePeek introduces an AI-driven framework for paper evaluation and paper quality assessment, advancing transparency, reproducibility, and ...

There's rarely time to write about every cool science-y story that comes our way. So this year, we're once again running a special Twelve Days of Christmas series of posts, highlighting one science ...

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...

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