Human intuition fuels AI-driven quantum materials discovery

Many properties of the world's most advanced materials are beyond the reach of quantitative modeling. Understanding them also requires a human expert's reasoning and intuition, which can't be replicated by even the most powerful ...

AI lab assistant predicts material properties in seconds

A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT has done for coders and writers. The new system, called ChatGPT Materials Explorer, or CME, could ...

3D X-ray study reveals how rock grains move and stress builds

A team of Johns Hopkins researchers is using an innovative X-ray imaging approach to reveal how compression reshapes the tiny spaces and stresses within sandstone—findings that could predict how this common rock used for ...

Reusable 'jelly ice' keeps things cold—without meltwater

No matter whether it's crushed or cubed, ice eventually melts into a puddle—but an alternative called jelly ice doesn't. Researchers Jiahan Zou and Gang Sun developed a one-step process to create the reusable, compostable ...

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