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.

When you need tools or parts for something you’re working on around the house, you head to the nearest hardware store. Space travelers don’t have that luxury and may have to make their own tools and ...

Lemon Volcanoes Science Experiments bring an exciting, fizzy, engaging science experience to your home or classroom from the very first moment. In this Fun Lemon Volcanoes Science Experiments activity ...

The global market for 2D materials — already estimated at several billion dollars annually — is growing at a 4 percent rate. This is explained by the importance of these newly synthesized materials, ...

As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through ...

We are entering a new era in science — the fourth paradigm, according to Kristin Persson, a professor in materials science at the University of California in Berkeley, United States. The first ...

Materials are a necessity for all engineering applications. Materials science and engineering seeks to understand the fundamental physical origins of material behavior in order to optimize properties ...

Scientists are probing topological insulators with circularly polarized light to reveal their many secrets. These exotic materials have potential for quantum computing and other technologies. They ...

But because the process is so slow, two-photon polymerization has found limited use outside of experiments in the ... at Microsoft Research AI for Science, wondered: Instead of sifting through ...