Workflow behind the MPT model. In this approach, the model learns from various material properties simultaneously in an initial training phase, followed by fine-tuning on the target property data.

A massive new database of dielectric material properties could speed up the development of electronics like smartphones and energy storage systems. AI-driven materials discovery has great potential to ...

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can ...

How many free websites do you have to visit to find materials data from 50 of the world's biggest plastics suppliers? Just one, thanks to a new web-enabled version of the CAMPUS material property ...

This is a particular problem for smaller aircraft manufacturers who have neither the budget to develop the required databases, nor access to those generated by larger organizations, often in support ...