Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...

The graduate programs in materials science and engineering from Drexel Engineering engage you in learning and research at the forefront of materials science. Students graduate prepared for careers in ...

Traditionally, analyzing materials involved techniques tailored for specific scales, which made integrating data from these different methods quite challenging. However, recent advancements in ...

Moon-Ho Jo, director of the IBS Center for Van der Waals Quantum Solids in Korea, tells Physics World how breakthroughs in ...

The objective of this course is to develop broad knowledge of the most commonly used techniques for characterizing soft and hard materials, with a strong focus on microscopy techniques. This is a ...

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 ...

In physics and materials science, the term "spin chirality" refers to an asymmetry in the arrangement of spins (i.e., the ...

We apply materials science to develop sustainable solutions that address critical industry needs for energy efficiency, resource conservation, and material performance. The Materials Science ...