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.

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

Everyday items like car tires, plastic bags and foam cushions come from materials called polymers that can take years to ...

Princeton Engineering researchers are combining their expertise in chemical engineering, materials and computation to design crystalline materials that can be used to mitigate pollution or make ...

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 ...

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 ...

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, ...

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 ...

Teaching elementary school science can be a struggle. Math and English dominate the schedule in the early grades, often leaving scant time for science. And most elementary teachers don’t have a ...

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 ...