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.

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

From creating lightweight yet durable prosthetics to designing new types of solar panels and batteries, materials engineers combine their expertise in physics, chemistry, biology, and engineering to ...

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.

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 ...

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 ...

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 ...

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 ...