The DOE's Argonne National Laboratory has launched its Activated Materials Lab to study radiation effects in nuclear reactor materials.

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.

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 ...

Quasicrystals are intriguing materials with long-range atomic order that lack periodicity. It has been a longstanding question whether antiferromagnetism, while commonly found in regular crystals, is ...

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 ...

The integration of self-driving laboratories and advanced automation software is revolutionising the fields of chemistry and materials science. By harnessing the power of robotics, artificial ...

Apoello’s technology builds on the European Innovation Council-backed DiaDEM research programme and means researchers can ...

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 researchers are getting a big boost from a new database created by a team of researchers led by Hendrik Heinz. A professor of chemical and biological engineering at the University of ...

Your second and third years have distinctive course requirements and electives. Here we can compare four related majors through select second and third year courses. MSE 2110 - Introduction to ...