Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

High-precision analysis of 2D materials microstructures achieved using electron microscopy and machine learning

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: twist domains (areas where one atomic layer is slightly rotated relative ...
Assembly Magazine

From CAD to Clarity: Why Automated Work Instructions Are the Critical Step in Reindustrializing the West

Ben Brakenwagen, account executive with Dirac, sat down with ASSEMBLY Audible to discuss Dirac’s automated work instruction ...
AZoOptics on MSN

A New AI-Powered Method to Automate Material Analysis and Design

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.