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.

This chapter is divided into two sections. The first section is an overview of the materials-science microgravity research program implemented by the National Aeronautics and Space Administration ...

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 alternative text for this image may have been generated using AI. In this Perspective, we discuss the main advances in the MP over the past decade, contextualized within the materials science ...

Defect tolerance is a concept applied in photovoltaics to explain semiconductors such as lead-halide perovskites that excel without relying on single-crystalline growth. It differentiates from the ...

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 ...

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 ...

Researchers have found an efficient way to identify 'topological' materials, whose surfaces can have different electrical or functional properties than their interiors. The approach should make it ...

On Demand Underground infrastructure must meet exacting performance demands, starting with the right materials. This webinar explores how cutting-edge material science is driving stronger, lighter, ...