Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize ...

The prediction model could help researchers characterize materials for use in batteries, magnets, and many other applications. "Structure is the first thing that you need to know for any material.

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This technique works best when the crystal is intact, but in many cases, scientists have only a powdered version of the material, which contains random fragments of the crystal. This makes it more ...

developing a universal materials model of DeepH capable of handling diverse material structures across most elements of the periodic table remains elusive. DeepH leverages prior knowledge of ...

Time" production model has made global supply chains highly sensitive to even minor local disruptions, risking widespread ...

INEC has begun distributing sensitive materials to local government areas in Edo state ahead of Saturday’s governorship election. Earlier, Officials of the Independent National Electoral Commission, ...

Officials of the Independent National Electoral Commission, INEC, and party officials are currently inspecting and taking inventory of sensitive materials at the Central Bank of Nigeria, CBN. All of ...

Procurement plays a key role in driving a circular supply chain, reducing e-waste and sourcing sustainably, while maximising ...

Today, Orbital Materials, an industrial technology developer leveraging AI to design and deploy new climate technologies, is open-sourcing an AI model called “Orb” for advanced materials design.