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 ...

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 ...

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 ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

Provides direct instruction in composition. Students examine and interpret communication practices and apply what they learn to their own written, aural, and visual compositions. Class projects ask ...

Members of a multifunctional thin film research group have published two landmark studies that explain how to engineer and enhance the stability of ferroelectric hafnium oxides, which are compatible ...

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