Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

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.

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

Insurance statistics show a sharp rise in thefts of catalytic converters, devices fitted to vehicles to change pollutants in exhaust gases to less toxic gases, as supply-chain issues have boosted the ...

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 National Institute for Materials Science (NIMS) has been developing the DICE materials data platform* 1 to fulfill its role as a data core center in the MEXT-led project to develop materials DX ...

Too often buildings end up as waste at the end of their lifecycle. How can the built environment move towards a circular economy, and in turn, reimagine how valuable materials are tracked and recycled ...