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.

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 ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.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.

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 ...

An introductory course focused on the new and existing materials that are crucial for mitigating worldwide anthropogenic CO2 emissions and associated greenhouse gases. Emphasis will be placed on how ...

The University of Iowa has been awarded $1.5 million to advance materials science research by leveraging various materials’ ...

Since its establishment as the world’s first materials science academic department, Northwestern Engineering has led and defined the frontier of material research, enabling transformative technologies ...

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 ...