Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists from Tokyo Tech. Their ML-based ...
Traditionally, analyzing materials involved techniques tailored for specific scales, which made integrating data from these different methods quite challenging. However, recent advancements in ...
Thought LeadersDr. Craig Johnson & Dr. Kate VanderburghDirector of Research Core Facilities & SEM/X-ray Microscopy ManagerDrexel University AZoMaterials speaks with Dr. Craig Johnson, Director of ...
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 ...
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 ...
We apply materials science to develop sustainable solutions that address critical industry needs for energy efficiency, resource conservation, and material performance. The Materials Science ...
Definition:4D Scanning Transmission Electron Microscopy (4D-STEM) is an advanced imaging technique that combines high-resolution electron microscopy with diffraction pattern analysis over a ...
The graduate program in materials science and engineering from Drexel Engineering deepens skillsets and knowledge to enhance your academic qualifications and skills to advance careers in this ...
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