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 ...

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 ...

A Johns Hopkins materials science and engineering professor is leading a multi-university team of researchers with a mission to expedite the process by which new and important materials are created ...

The Colorado Shared Instrumentation in Nanofabrication and Characterization (COSINC) facility will host a two-day workshop and training session on Material 3D-Nanofabrication and Characterization from ...

Scanning electron microscopy (SEM), along with key analytical techniques, such as energy dispersive spectroscopy (EDS) and electron backscatter diffraction (EBSD), are essential for advanced materials ...

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 ...

AFAM operates by exciting the sample with ultrasonic waves while simultaneously probing the surface with an AFM tip. The ultrasonic waves cause the sample to vibrate, and the AFM tip detects these ...

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 ...

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 ...

Perform operando and post-mortem characterization to obtain mechanistic understanding of Li deposition and SEI evolution. A toolkit of morphological, strucutral and chemical analysis techniques will ...