The basic physical process of irradiating a material with photons of a known energy and measuring the ejected photoelectrons has remained unchanged over six decades since it was first commercialized.

Scientists at Tokyo Tech have demonstrated how machine learning (ML) makes it possible to compute the fundamental electronic properties of binary and ternary oxide surfaces accurately and efficiently.

Inverse Gas Chromatography (IGC) is a versatile analytical technique that measures the physicochemical properties of solid surfaces through gas‐phase probe interactions. By employing IGC, researchers ...

Engineering material surface properties can influence some of the most important characteristics of materials, such as corrosion resistance, adhesion, color, conductivity, biocompatibility, and many ...

Surface properties dictate a vast array of material characteristics that are crucial to performance, durability, and intended functionality across diverse industries. Properties such as friction, wear ...

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 ...

Foundations of Nano Materials Science So, what exactly is nano materials science all about? It’s basically looking ...

Ultimate composite strength is highly dependent on interfacial interactions between the filler material and matrix. Nanomaterials are getting continued interest as reinforcement materials in composite ...

Johns Hopkins University's Materials Characterization and Processing facility showcased its cutting-edge atomic research to the world at an event last month. The Innovation Nexus: Workshop and ...