Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new ...

Waste analytics company Greyparrot has launched Deepnest, an artificial intelligence- (AI-) powered waste intelligence platform designed to give brands direct access to their recyclable material data.

After several years, New York’s Packaging Reduction and Recycling Infrastructure Act looks like it might soon be voted into law. With support from several key environmental groups, as well as New York ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

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 ...

Material Exchange’s AI sourcing assistant, Frank the bear, will soon integrate with Worldly’s industry-leading sustainability data and insights, giving brands an instant, trusted understanding of the ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...