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.

WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the launch of its new premium digital mobile metrology device, the GelSight Max. GelSight Max ...

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.

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

Achieving a reliable hybrid bond requires both surfaces to be pristine. To support this requirement, metrology methods such as atomic force microscopy (AFM) and atomic force profilometry (AFP) are ...