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: ...

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 (XAS) is an important technique for this, as it reveals detailed insights ...
Science Daily

Machine learning advances materials for separations, adsorption, and catalysis

An artificial intelligence technique -- machine learning -- is helping accelerate the development of highly tunable materials known as metal-organic frameworks (MOFs) that have important applications ...
Business Wire

OpenSesame Wins Toyota Material Handling’s 2023 Learning & Development Award

PORTLAND, Ore.--(BUSINESS WIRE)--OpenSesame, the leading provider of online business training, was recognized this week as the winner of Toyota Material Handling’s Learning & Development (L&D) ...