Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...
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.
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 ...
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 ...
Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...
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